PROGRAM

Tentative ICHI 2024 schedule (EXCEL)

Last updated on 6/5/2024

For Parking, there is a free parking lot behind the Lake Nona facility.

For poster and demo session, please follow the Presenter Guidelines.

For ICHI 2024 Menu of Coffee Break, Lunch and Reception, please follow the ICHI 2024 MENU.

Time Lobby (First Floor) Auditorium (First Floor) 131 (First Floor) 234 (Second Floor) 333 (Third Floor) 334 (Third Floor)
Monday, June 3
7:30 AM -
8:30 AM		 Registration
Coffee Bar
8:30 AM -
10:00 AM		 Workshop 1
The Third International Workshop on Health Informatics Education
Workshop 2
Human-Centred XAI: Enhancing AI Acceptability for Healthcare
Workshop 3
The 2nd International Workshop on Ethics and Bias of Artificial Intelligence in Clinical Applications
Workshop 4
Multimodal Representation Learning for Healthcare
10:00 AM -
10:20 AM		 Coffee Break
10:20 AM -
12:00 PM
Workshop 1
The Third International Workshop on Health Informatics Education
Workshop 2
Human-Centred XAI: Enhancing AI Acceptability for Healthcare
Workshop 3
The 2nd International Workshop on Ethics and Bias of Artificial Intelligence in Clinical Applications
Workshop 4
Multimodal Representation Learning for Healthcare
12:00 PM -
1:00 PM		 Lunch
1:00 PM -
2:30 PM
Workshop 1
The Third International Workshop on Health Informatics Education
Workshop 5
Data privacy and data analysis in healthcare systems
Workshop 6
The First Workshop on Applying LLMs in LMICs for Healthcare Solutions
2:30 PM -
2:50 PM		 Coffee Break
2:50 PM -
4:30 PM
Workshop 5
Data privacy and data analysis in healthcare systems
Workshop 6
The First Workshop on Applying LLMs in LMICs for Healthcare Solutions
Tuesday, June 4
7:30 AM -
8:30 AM		 Registration
Coffee Bar
8:30 AM -
10:00 AM		 Tutorial 1
Large Language Models in Healthcare: Prompt Engineering Competition 		Doctoral Consortium Tutorial 2
Generating Real-World Evidence with Real-world Data and Machine Learning 		Tutorial 3
Usable Interpretability for Large Language Models
10:00 AM -
10:20 AM		 Coffee Break
10:20 AM -
12:00 PM		 Tutorial 1
Large Language Models in Healthcare: Prompt Engineering Competition 		Doctoral Consortium Tutorial 2
Generating Real-World Evidence with Real-world Data and Machine Learning 		Tutorial 3
Usable Interpretability for Large Language Models
12:00 PM -
1:00 PM		 Lunch Doctoral Consortium Lunch
1:00 PM -
1:20 PM		 Welcome Session
1:20 PM -
2:15 PM		 Keynote 1: Dr. Jessica S. Ancker, Professor and Vice Chair for Education Affairs, Department of Biomedical Informatics at Vanderbilt University
2:15 PM -
2:30 PM		 Coffee Break
2:30 PM -
4:00 PM		 JHIR Special Session
Journal of Healthcare Informatics Research Presentation 		Paper Session: Human Factors 1
Mental Health and Wellbeing 		Paper Session: System 1
NLP and Multimodal Systems 		Paper Session: Analytics 1
Patient Similarity and Physical Activities 		Remote Session 1
Remote Live Presentations
4:30 PM -
6:00 PM		 Poster Session & Reception
5:30 PM -
6:30 PM		 IHI Town Hall
Wednesday, June 5
7:30 AM -
9:00 AM		 Registration
Coffee Bar
7:30 AM -
9:00 AM		 Meet & Greet
9:00 AM -
10:00 AM		 Keynote 2: Dr. Zhiyong Lu, Senior Investigator at the National Library of Medicine, NIH
10:00 AM -
10:30 AM		 Coffee Break
10:30 AM -
12:00 PM		 Paper Session: Analytics 2
Medical Image Analysis 		Paper Session: Human Factors 2
Clinical care and self-management 		Paper Session: System 2
Healthcare IT Systems
12:00 PM -
1:00 PM		 Lunch
12:00 PM -
1:00 PM		 Women in Healthcare Informatics Event
1:00 PM -
2:30 PM		 Paper Session: Analytics 4
Disease Modeling and Prediction 		Paper Session: System 3
Generative AI-Based Systems 		Paper Session: Analytics 3
Healthcare Delivery and Genomics
2:30 PM -
3:00 PM		 Coffee Break
3:00 PM -
4:30 PM		 Paper Session: Analytics 5
Predictive Modeling 		Paper Session: Analytics 6
Social Determinants of Health and Mental Health 		Panel Discussion on XAI Paper Session: Analytics 7
Patient Representation 		Paper Session: Analytics 8
Natural Language Processing
5:30 PM -
6:00 PM		 Meet & Greet @ Wave Hotel
6:00 PM -
8:30 PM		 Ceremony/Banquet @ Wave Hotel
Thursday, June 6
7:30 AM -
8:30 AM		 Registration
Coffee Bar
8:30 AM -
9:30 AM		 Keynote 3: Dr. Jens Kleesiek, Professor of Translational Image-guided Oncology
9:45 AM -
10:00 AM		 Coffee Break
10:00 AM -
12:00 PM		 Industry Research in Healthcare Informatics
12:00 PM -
12:30 PM		 Closing Session

Program Details

Monday, June 3

Monday, June 3, 8:30AM - 2:30 PM @Auditorium(First Floor)
Workshop 1: The Third International Workshop on Health Informatics Education
Acronyms: HI-Edu 2024 Workshop
Institution: Nivi and Brandeis University, Cornell
Organizers: Leming Zhou, Huanmei Wu, Yanshan Wang
More information of this workshop is on website link: https://sites.pitt.edu/~lzhou1/HIEDU2024.html

Monday, June 3, 8:30AM - 12:00 PM @131(First Floor)
Workshop 2: Human-Centred XAI: Enhancing AI Acceptability for Healthcare
Acronyms: Human-Centred XAI Workshop
Institution: Université de Picardie Jules Verne, France
Organizers: Gilles DEQUEN, Daniel Aïham GHAZALI, Emilien ARNAUD, Mahmoud ELBATTAH
More information of this workshop is on website link: https://mahmoud-elbattah.github.io/ichiworkshop2024/

Monday, June 3, 8:30AM - 12:00 PM @333(Third Floor)
Workshop 3: The 2nd International Workshop on Ethics and Bias of Artificial Intelligence in Clinical Applications
Acronyms: EBAIC 2024 Workshop
Institution: University of Pittsburgh, The University of Texas Health Science Center at Houston
Organizers: Ahmad P. Tafti, Yanshan Wang, Hongfang Liu
More information of this workshop is on website link: https://pitthexai.github.io/EBAIC2024/

Monday, June 3, 8:30AM - 12:00 PM @334(Third Floor)
Workshop 4: Multimodal Representation Learning for Healthcare
Acronyms: Multimodal4Health Workshop
Institution: Mayo Clinic (AZ, MN), Emory, Stanford
Organizers: Man Luo, Aisha Urooj, Theo Dapamede, Jason Fries, Bhavik Patel, Imon Banerjee
More information of this workshop is on website link: https://luomancs.github.io/Multimodal4Health-ICHI/

Monday, June 3, 1:00PM - 4:30PM @234(Second Floor)
Workshop 5: Data privacy and data analysis in healthcare systems
Acronyms: DPDAHS Workshop
Institution: University of Verona, Italy; Vanderbilt University Medical Center (VUMC), TN, USA
Organizers: Matteo Mantovani, Luca Bonomi
More information of this workshop is on website link: https://dpdahs.github.io/

Monday, June 3, 1:00PM - 4:30PM @334(Third Floor)
Workshop 6: The First Workshop on Applying LLMs in LMICs for Healthcare Solutions
Acronyms: ALL 4 Health 2024 Workshop
Institution: Nivi and Brandeis University, Cornell
Organizers: David Tresner-Kirsch, Emma Pierson
More information of this workshop is on website link: https://www.nivi.io/all4health

Tuesday, June 4

Tuesday, June 4, 8:30 AM - 12:00 PM @131 (First Floor)
Doctoral Consortium
  • 8:30AM-9:00AM: Peer Group Feedback
  • 9:00AM-9:12AM: Supporting Patient Information Sharing and Collection in Pre-Hospital Care through Hands-Free Smart Glasses
    • Enze Bai (Advisor: Zhan Zhang) (Pace University, USA)
  • 9:12AM-9:24AM: Implications of an Interactive Assistive Tool to Support Online Health Information Evaluation
    • Jiaying Liu (Advisor: Yan Zhang) (University of Texas at Austin, USA)
  • 9:24AM-9:36AM: An Enhanced Multimodal Multilingual Dataset for Medical Misinformation Detection
    • Zhaoyi Sun (Advisor: Fei Xia) (University of Washington, USA)
  • 9:36AM-9:48AM: Clinicians' Perspective on the Role of Trustworthiness for AI Adoption in Healthcare
    • Forhan Bin Emdad (Advisor: Zhe He) (Florida State University, USA)
  • 9:48AM-10:00AM: Integrating Medical Knowledge and Data with Large Language Models to Improve Clinical Information Extraction
    • Yan Hu (Advisor: Hua Xu) (University of Texas Health Science Center at Houston, USA)
  • 10:00AM-10:12AM: Optimizing EHR Systems for Nursing: Adapting to Nurses’ Work Constraints and Workflow Integration for Enhanced Efficiency Across Seniority Levels
    • Shan Yu (Advisor: Lisiane Pruinelli) (University of Florida, USA)
  • 10:15AM-10:30AM: BREAK
  • 10:30AM-10:45AM: Life after Graduation Q&A
  • 10:45AM-10:57AM: Comparing Approaches to Risk Threshold Selection for Venous Thromboembolism Prophylaxis in Medical Inpatients
    • Benjamin Mittman (Advisor: Michael Rothberg) (Case Western Reserve University, USA)
  • 10:57AM-11:09AM: Uncertainty Quantification in Critical Care Systems Using Bayesian Variational Autoencoders
    • Elham Estiri (Advisor: Hossein Mirinejad) (Kent State University, USA)
  • 11:09AM-11:21AM: Large Language Models Within the AI Pipeline
    • Chancellor Woolsey (Advisor: Gondy Leroy) (University of Arizona, USA)
  • 11:21AM-11:33AM: Big Research Data Management Needs of Researchers at a Research-Intensive University - A Qualitative Study
    • Fatih Gunaydin (Advisor: Besiki Stvilia) (Florida State University, USA)
  • 11:33AM-11:45AM: Large Language Models Boosting Suicide-related Social Factor Mining
    • Song Wang (Advisor: Joydeep Ghosh) (University of Texas at Austin, USA)
  • 11:45AM-11:57AM: Automatic Segmentation of Effusion from Knee MRI Images
    • Mohammad Chowdhury (Advisor: Juan Shan) (Pace University, USA)
  • 11:57AM-12:09PM: Advancing Personalized Hypoglycemia Risk Profiling by Leveraging ICU Length of Stay and Comorbidity Data
    • Jennifer Daniel Onwuchekwa (Advisor: Maria Maleshkova) (University of Siegen, Germany)
  • 12:09PM-1:00PM: Doctoral Consortium LUNCH Q&A @ 131
Tuesday, June 4, 8:30AM - 12:00 PM @Auditorium(First Floor)
Tutorial 1: Large Language Models in Healthcare: Prompt Engineering Competition

Primoz Kocbek, Lucija Gosak, Mateja Lorber, Gregor Stiglic

It is structured in two parts: 1) a practical tutorial focusing on advanced prompt engineering methods and highlighting privacy requirements, such as HIPAA, GDPR, in healthcare and 2) a hands-on part in the form of a prompt engineering competition. Synthetic EHR data will be used to formulate tasks where participants will be asked to find the best solution using the popular and free OpenAI ChatGPT 3.5.

The intended audience are healthcare researchers and professionals, AI scientists, data scientists, and PhD students in the relevant fields as well others. Attendees will gain insights into prompt engineering strategies, experimentation and understand how to potentially achieve more desirable outputs for specific tasks.

This tutorial aims to educate participants with the knowledge on how to improve utilization of LLMs in healthcare and encourage creative thinking in solving real-world problems in healthcare informatics using AI solutions.

Tuesday, June 4, 8:30AM - 12:00 PM @234(Second Floor)
Tutorial 2: Generating Real-World Evidence with Real-world Data and Machine Learning

Chengxi Zang, Fei Wang

The complexity of the real-world data has turned them into a formidable testing ground for cutting-edge machine learning (ML) or AI algorithms.

In this tutorial, we aim to introduce how to use RWDs and machine learning methods to accelerate the drug discovery and development process and solve real-world healthcare challenges.

We will first introduce basic concepts, existing challenges, and the knowledge gap. Then, we will introduce ML-driven target trial emulation methods and how to use them to a) drug repurposing for Alzheimer’s disease with RWD, and b) improve our understanding of and ability to predict, treat, and prevent the post-acute sequelae of SARSCoV-2 (or Long COVID).

We will conclude this tutorial with discussions and potential future research directions.

Tuesday, June 4, 8:30AM - 12:00 PM @334(Third Floor)
Tutorial 3: Usable Interpretability for Large Language Models

Yucheng Shi, Haiyan Zhao, Fan Yang, Xuansheng Wu, Mengnan Du, Ninghao Liu

Large Language Models (LLMs) have shown remarkable proficiency in natural language processing tasks. Despite these advancements, the opacity of their internal workings presents significant challenges, introducing potential risks for applications built upon these models. Consequently, comprehending and elucidating the operations of LLMs is essential to fully understand their behavior, identify their limitations, and assess their broader social implications. Interpretation methods serve as a crucial tool for understanding LLMs.

In this half-day tutorial, we introduce several strategies for interpreting LLMs, as well as how the interpretation could guide the improvement of LLMs. Besides introducing the methodologies, we also provide several case studies.

The target audience of this tutorial includes individuals with a biomedical background but are interested in leveraging LLMs for explainable solutions. The instructors consists of researchers from the University of Georgia, New Jersey Institute of Technology, and Wake Forest University. The instructors are experienced in Explainable AI (XAI), and have conducted preliminary research of LLM interpretation.

Tuesday, June 4, 1:00 - 1:20 PM @Auditorium(First Floor)
Welcome Session
Tuesday, June 4, 1:20 - 2:15 PM @Auditorium(First Floor)
Keynote 1: When nudges are better than decision support: Intentional choice architectures in IT, policy, and research
Jessica S Ancker, MPH, PhD, FACMI

Jessica S Ancker

  • Vanderbilt University
  • Professor, Department of Biomedical Informatics and Department of Health Policy
Abstract: The great promise of innovative technologies such as AI is that they will advance human health by helping us summarize information, make diagnoses, predict health outcomes, or offer recommendations. However, as we develop ways for doctors or patients to use AI outputs for decisions, it is critical to recognize that information alone does not determine peoples’ decisions. We are also heavily influenced by our environment – whether physical or electronic – and the options that it presents us. These options and the ways they are presented are collectively known as the “choice architecture.” Aspects of the choice architecture which encourage people to select certain options are generally known as “nudges.” Using case studies from biomedical informatics, I will show how choice architectures shape our day-to-day decisions in ways that we are not always aware of, and how they may interfere with the ability to apply information to make decisions. I will also demonstrate how people who design information technologies are in a unique position to leverage intentional choice architectures to reduce cognitive burden and nudge people to select the best option. By broadening our understanding of human decision-making processes, we maximize the likelihood that AI will deliver on its promise.

Tuesday, June 4, 2:30 - 4:30 PM @Auditorium(First Floor)
JHIR Special Session: Journal of Healthcare Informatics Research Presentation
(Session Chair: Dr. Christopher Yang and PhD Student Mary Lucas)
  • Applying Generation-Augmented Retrieval and Large Language Models to Automatic Clinical Assessment.
    • Ping Yu, University of Wollongong
  • Bias Analysis in Healthcare Time Series (BAHT) Decision Support Systems from Meta Data
    • Sagnik Dakshit, Prabhakaran Balakrishnan
  • Extracting Complementary and Integrative Health Approaches in Electronic Health Records
    • Rui Zhang
  • Towards More Generalizable and Accurate Sentence Classification in Medical Abstracts with Less Data
    • Yan Hu
Tuesday, June 4, 2:30 PM - 4:00 PM @131(First Floor)
Paper Session Human Factors 1: Mental Health and Wellbeing (Session Chair: Dr. Oshani Seneviratne)
  • A Gamified Approach for Alcohol Use Disorder Therapy in Virtual Reality
    • Alexander Bazhanov, Veronika Landhaeusser, Kornelius Kammler-Sücker, Bernd Lenz and Gerrit Meixner
  • Co-designing a User-Centred Digital Portal to Support Health-related Self-management for Stroke Survivors
    • Zhiqiang Huo, Timothy Neate, David Wyatt, Sophie Rowland-Coomber, Martin Chapman, Iain J. Marshall, Charles Wolfe, Matthew O'Connell and Vasa Curcin
  • The Impact of social media on Caregiver's Mental Well-Being: An Empirical Study
    • Bijun Wang and Yuze Zhang
  • Understanding Digital Wellbeing Through Smartphone Usage Intentions and Regrettable Patterns
    • Rania Islambouli, Sandy Ingram and Denis Gillet
Tuesday, June 4, 2:30 PM - 4:00 PM @234(Second Floor)
Paper Session System 1: NLP and Multimodal Systems (Session Chair: Dr. Xiaolei Huang)
  • A Mispronunciation-Based Voice-Omics Representation Framework for Screening Speech and Language Impairments in Children
    • Wei Bo, Matthew Rubino and Wenyao Xu
  • Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing
    • Aokun Chen, Daniel Paredes, Zehao Yu, Xiwei Lou, Roberta Brunson, Jamie N. Thomas, Kimberly A. Martinez, Robert J. Lucero, Tanja Magoc, Laurence M. Solberg, Urszula A. Snigurska, Sarah E. Ser, Mattia Prosperi, Jiang Bian, Ragnhildur I. Bjarnadottir and Yonghui Wu
  • Large Language Models for Image Generation to Enhance Health Literacy
    • Chancellor Woolsey, Skye Miller, David Kauchak, Phillip Harber, Steven Rains and Gondy Leroy
  • Mapping study variables to NIH Common Data Elements using GPT for Sheets: Towards standardized data collection and sharing
    • Pritham Ram, Na Hong, Hua Xu and Xiaoqian Jiang
  • Personalized Meal Planning in Inpatient Clinical Dietetics Using Generative Artificial Intelligence: System Description
    • Leon Kopitar, Gregor Stiglic, Leon Bedrac and Jiang Bian
Tuesday, June 4, 2:30 PM - 4:00 PM @333(Third Floor)
Paper Session Analytics 1: Patient Similarity and Physical Activites (Session Chair: Dr. Gayo Diallo)
  • Developing a computational representation of human physical activity and exercise using open ontology-based approach: a Tai Chi use case
    • Eloisa Nguyen, Rebecca Z. Lin, Yang Gong, Cui Tao and Muhammad Amith
  • Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks
    • Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora Dilys Salim, Jiang Bian and Antonio Jimeno Yepes
  • Representing Outcome-driven Higher-order Dependencies in Graphs of Disease Trajectories
    • Steven Krieg, Nitesh V. Chawla and Keith Feldman
  • Sequence-walking Decision Tree for Multivariate Healthcare Data
    • Pietro Sala and Omid Zare
Tuesday, June 4, 2:30 PM - 4:00 PM @334(Third Floor)
Remote Session 1: Remote Live Presentations (Session Chair: Dr. Zhe He)
  • A Controlled Virtual Reality Environment for Exploring Social Dynamics in Immersive Conversational Interactions
    • Tung Khau, Giuseppe De Luca, Martina Benvenuti, Elvis Mazzoni and Gerrit Meixner
  • A Topological Data Analysis of Unmet Health Care Needs Among Injured Patients
    • Nelofar Kureshi and Syed Sibte Raza Abidi
  • Health Data Processing Concept for Avoiding Nonresponse Bias in Primary Care Research
    • Benny Platte, Danny Kowerko, Holger Langner, Jan Anastassis Skuras, Marc Ritter and Christian Roschke
  • TCPNet: A Novel Tumor Contour Prediction Network using MRIs
    • Shraddha Agarwal, Vinod Kumar Kurmi, Abhirup Banerjee and Tanmay Basu
Tuesday, June 27, 4:00 PM - 5:30 PM @Event/Exhibition Space
Posters & Demos (Session Chair: Dr. Xing He, Dr. Tuan Amith)

Board Number: X

  • 1. Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT
    • Mirza Akhi Khatun (University of Limerick, Ireland), Mangolika Bhattacharya (Illinois State University, USA), Ciarán Eising (University of Limerick, Ireland) and Lubna Luxmi Dhirani (University of Limerick, Ireland)
  • 2. Reducing Diagnostic Uncertainty in Emergency Departments: The Role of Large Language Models in Age-Specific Diagnostics
    • Wanting Cui, Kensaku Kawamoto, Keaton Morgan and Joseph Finkelstein
  • 3. Prototyping an Embedded Imager for Cardiovascular Metrics Monitoring
    • Chuhui Liu, Alexander Gherardi, Huining Li, Jun Xia and Wenyao Xu
  • 4. Exploring Artificial Intelligence Solutions and Challenges in Healthcare Administration
    • Lina Adwer and Erik Whiting
  • 5. Systematic Mapping Study: Blockchain Applied to Healthcare
    • Vitor Lindbergh and Itamir Barroca Filho
  • 6. Health Data Processing Concept for Avoiding Nonresponse Bias in Primary Care Research
    • Benny Platte, Danny Kowerko, Holger Langner, Jan Anastassis Skuras, Marc Ritter and Christian Roschke
  • 7. Inexpensive Screening of Hearing Disorders Objectively Using Auditory-Pupillary Response
    • Sen Jiang, Ahmet Demirbas, Wei Sun and Wenyao Xu
  • 8. Towards AI-Assisted Psychological Evaluation: A Study in LLM Fine-Tuning and Prompting for Nuanced Language Understanding
    • Arshia Kermani and Vangelis Metsis
  • 9. Assessing Empathy in Mental Health Caregivers using Conversational AI
    • Raghav Naswa, Sugam Jaiswal, Remya Mavila, Weichao Yuwen, Bill Erdly and Dong Si
  • 10. Performance Evaluation of Multimodal Large Language Models (LLaVA and GPT-4-based ChatGPT) in Medical Image Classification Tasks
    • Yuhang Guo and Zhiyu Wan
  • 11. Identifying Psychosis Episodes in Admission Notes with Natural Language Processing: A Comparative Study
    • Yining Hua, Suzanne V. Blackley, Ann K. Shinn, Lauren V. Moran and Li Zhou
  • 12. ESMFold-predicted Structures and Evolutionary Scale Modeling (ESM)-based Amino Acid Characterization improve Antimicrobial Peptide Classification using Graph-based Learning
    • Greneter Cordoves Delgado and César Raúl García Jacas
  • 13. Psychosis Identification on Admission Notes via Semi-Supervised Learning
    • Yining Hua, Suzanne V. Blackley, Ann K. Shinn, Lauren V. Moran and Li Zhou
  • 14. Online Applications for Cancer Social Support: A Review of Reviews
    • Fei Yu, Sujin Kim and Lixin Song
  • 15. A GUI-based Interface For OBO Foundry’s ROBOT Library To Encourage Usability and Adoption
    • Luke Liu, Yinglun Zhang, Hande McGinty and Muhammad Amith
  • 16. A Preliminary Case Study of Developing A Web-based Digital Portal for Stroke Survivors using Synthetic Personal Health Data
    • Zhiqiang Huo, Timothy Neate, David Wyatt, Sophie Rowland-Coomber, Martin Chapman, Iain J. Marshall, Charles Wolfe, Matthew O'Connell and Vasa Curcin
  • 17. DRNetAI: Enhanced Retinopathy Analysis using Explainable Self-Attention Models
    • Krishna Mridha and Lijun Zhang
  • 18. Evaluating Generative Models in Medical Imaging
    • Liyue Fan, Ashley Bang and Luca Bonomi
  • 19. A Novel Framework to Explore the Spatiotemporal Dynamics of Respiratory Syncytial Virus
    • Jingyi Liang, Saturnino Luz, You Li and Harish Nair
  • 20. Promote Public Engagement with Palliative and End-of-life Care Discussion on Chinese Social Media
    • Yijun Wang, Han Zheng, Yuxin Zhou, Emeka Chukwusa, Jonathan Koffman and Vasa Curcin
  • 21. Prediction of Follow Up for Oncology Patients Discharged to Skilled Nursing Facilities Using Machine Learning
    • Ziyi Chen, Tianshi Liu, Yonghui Wu, Yi Guo, Jonathan Chatzkel and Jiang Bian
  • 22. Development and Preliminary Evaluation of Remote Pacemaker Monitoring System Using Large Language Model
    • Rumi Iwai, Takunori Shimazaki, Mitsuhiro Fukuda, Takanao Mine, Shingo Ata, Takeshi Yokoyama and Daisuke Anzai
  • 23. Towards Values-Focused Design Methods for Personalization in Consumer Health Informatics: Workshopping Approaches with Designers
    • Rachel Tunis and Kenneth R. Fleischmann

Wednesday, June 5

Wednesday, June 5, 7:30 - 9:00 AM @Lobby (First Floor)
Meet & Greet

Wednesday, June 5, 9:00 - 10:00 AM @Auditorium (First Floor)
Keynote 2: Transforming Medicine with AI: from PubMed Search to TrialGPT
Zhiyong Lu, PhD FACMI, FIAHSI

Zhiyong Lu

  • Senior Investigator, NIH/NLM
  • Deputy Director for Literature Search, NCBI
  • Professor of Computer Science (Adjunct), UIUC
Abstract: The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. As such, the field of medicine is undergoing a paradigm shift driven by AI-powered analytical solutions. This talk explores the benefits (and risks) of AI and ChatGPT, highlighting their pivotal roles in revolutionizing biomedical discovery, patient care, diagnosis, treatment, and medical research. By demonstrating their uses in some real-world applications such as improving PubMed searches (Fiorini et al., Nature Biotechnology 2018), supporting precision medicine (LitVar, Allot et al., Nature Genetics 2023), and accelerating patient trial matching (TrialGPT), we underscore the potential of AI and ChatGPT in enhancing clinical decision-making, personalizing patient experiences, and accelerating knowledge discovery.

Wednesday, June 5, 10:30 - 12:00 PM @Auditorium (First Floor)
Paper Session Analytics 2: Medical Image Analysis (Session Chair: Dr. Carson Leung)
  • Cascaded Network for Multiscale Feature Extraction
    • Muhammad Zubair Khan, Muazzam Ali Khan and Belinda Copus
  • Comparative Analysis of U-Net 3D, VNet, and Attention U-Net Architectures on the BRATS 2021
    • Zarqua Neyaz and Himanshu Mittal
  • Multiple Multi-Modal Methods of Malignant Mammogram Classification (M6C)
    • Christopher Vattheuer, Carson Leung and Jase Tran
  • Semantic Neural Network for Micro-Vessels Extraction
    • Muhammad Zubair Khan and Muazzam Ali Khan
  • Supporting Mitosis Detection AI Training with Inter-Observer Eye-Gaze Consistencies
    • Hongyan Gu, Zihan Yan, Ayesha Alvi, Brandon Day, Chunxu Yang, Zida Wu, Shino Magaki, Mohammad Haeri and Xiang'Anthony' Chen
Wednesday, June 5, 10:30 - 12:00 PM @131 (First Floor)
Paper Session Human Factors 2: Clinical care and self-management (Session Chair: Dr. Xing He)
  • Black-box Testing of the Interactive Prostate Cancer Information, Communication, and Support Program to Ensure Reliability for Patients and Caregivers
    • Fei Yu, Daria Neidre, Nibras Rakib, Marcus Lambert, Chunxuan Ma, Amy Vondenberger and Lixin Song
  • iCare – An AI-Powered Virtual Assistant for Mental Health
    • Remya Mavila, Sugam Jaiswal, Raghav Naswa, Weichao Yuwen, Bill Erdly and Dong Si
  • LESSONS FOR APPROACHING IMPLEMENTATION OF AI SYSTEMS IN CLINICAL SETTINGS
    • Ayomide Owoyemi, Ebere Okapra, Milicent Okor, Farooq Awais, Sagar Harwani, Megan Salwei and Andy Boyd
  • Patient Engagement and Medication Consistency with Adoelscent Heart Transplant Recipients
    • Michael Killian, Sonnie Mayewski, Schyler Brumm, Lisa Schelbe, Mia Lustria and Dipankar Gupta
Wednesday, June 5, 10:30 - 12:00 PM @234 (Second Floor)
Paper Session System 2: Healthcare IT Systems (Session Chair: Dr. Pietro Sala)
  • A migration framework for active BPMN processes in healthcare
    • Matteo Mantovani, Emanuele Chini and Carlo Combi
  • Data-Driven Real-time Surveillance System for Tracking Disease Outbreaks: A Case Study of Lassa Fever Outbreaks
    • Aniket Wattamwar and Sampson Akwafuo
  • Development of a GenAI-Powered Hypertension Management Assistant: Early Development Phases and Architectural Design
    • Danissa V. Rodriguez, Katerina Andreadis, Ji Chen, Javier Gonzalez and Devin Mann
  • GEN-RWD Sandbox ecosystem for privacy-preserving data sharing in healthcare research: the Processor module
    • Benedetta Gottardelli, Roberto Gatta, Leonardo Nucciarelli, Andrada Mihaela Tudor, Mariachiara Savino, Mauro Vallati and Andrea Damiani
  • The Development and Feasibility of a Triage System for Use in Primary Care
    • Magnús Friðrik Helgason, Kári Steinn Hlífarson, Baldur Olsen, Steindór Oddur Ellertsson, Hrafn Loftsson and Stefán Ólafsson
Wednesday, June 5, 12:00PM - 1:00PM @131 (First Floor)
Women in Healthcare Informatics Event

Wednesday, June 5, 1:00PM - 2:30PM @Auditorium (First Floor)
Paper Session Analytics 4: Disease Modeling and Prediction (Session Chair: Dr. Mei Liu)
  • Applying Reinforcement Learning to Epidemic Management: Strategic Influenza Control in Multiple Scenarios
    • Xukun Qin, Yihan Deng, Zhiya Zuo and Xi Wang
  • Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction
    • Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora Dilys Salim, Antonio Jimeno Yepes, Jun Shen and Jiang Bian
  • ICD Codes are Insufficient to Create Datasets for Machine Learning: An Evaluation Using All of Us Data for Coccidioidomycosis and Myocardial Infarction
    • Abigail Whitlock, Gondy Leroy, Fariba Donovan and John Galgiani
  • Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series
    • Yuxi Liu, Zhenhao Zhang, Shaowen Qin and Jiang Bian
  • Node2VecFuseClassifier: Bridging Perspectives in Modeling Transplantation Attitudes Among Dialysis Patients
    • Rafaa Aljurbua, Avrum Gillespie, Jumanah Alshehri, Abdulrahman Alharbi, Nouf Albarakati and Zoran Obradovic
Wednesday, June 5, 1:00PM - 2:30 PM @234 (Second Floor)
Paper Session System 3: Generative AI-Based Systems (Session Chair: Dr. Yi Guo)
  • Automated Generation of Narrative Sleep Reports Utilizing Portable Electroencephalogram Data through ChatGPT
    • Saki Tsumoto, Fusae Kawana, Kazumasa Horie, Minori Masaki, Kei Nishida, Kazuya Miyanishi, Jaehoon Seol, Morie Tominaga, Takashi Amemiya, Tetsuro Hiei, Akihiro Tani, Masaki Matsubara, Atsuyuki Morishima, Hiroyuki Kitagawa and Masashi Yanagisawa
  • Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contexts
    • Guangzeng Han, Weisi Liu, Xiaolei Huang and Brian Borsari
  • Effects of Different Prompts on the Quality of GPT-4 Responses to Dementia Care Questions
    • Zhuochun Li, Bo Xie, Robin Hilsabeck, Alyssa Aguirre, Ning Zou, Zhimeng Luo and Daqing He
  • Leveraging Generative Pre-Trained Transformer Models for Standardizing Nursing Data
    • Aseem Baranwal, Alexander Semenov, Patricia Salgado, Karen Priola, Yingwei Yao, Gail Keenan and Tamara Macieira
  • Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
    • Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Mathai, Pritam Mukherjee, Xin Gao, Ronald Summers and Zhiyong Lu
Wednesday, June 5, 1:00PM - 2:30 PM @333 (Third Floor)
Paper Session: Analytics 3 Healthcare Delivery and Genomics (Session Chair: Dr. Qianqian Song)
  • An average-case efficient two-stage algorithm for enumerating all longest common substrings of minimum length k between genome pairs
    • Mattia Prosperi, Simone Marini and Christina Boucher
  • Classifying Cancer Stage with Open-Source Clinical Large Language Models
    • Chia-Hsuan Chang, Mary Lucas, Grace Lu-Yao and Christopher Yang
  • End-to-End Risk-aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities
    • Yongjian Zhong, Weiyu Huang and Bijaya Adhikari
  • Inhomogeneous Poisson Process for Ambulance Dispatch
    • Félicien Hêche, Oussama Barakat, Thibaut Desmettre and Stephan Robert-Nicoud
  • SparseHE: an efficient privacy-preserving biomedical prediction approach using sparse homomorphic encryption
    • Chen Song, Wenkang Zhan and Xinghua Shi
Wednesday, June 5, 3:00PM - 4:30 PM @Auditorium (First Floor)
Paper Session Analytics 5 Predictive Modeling (Session Chair: Dr. Jie Xu)
  • An ExplainableFair Framework for Predictive Modeling in Healthcare
    • Mary Lucas, Xiaoyang Wang, Chia-Hsuan Chang and Christopher Yang
  • Attention-based Imputation of Missing Values in Electronic Health Records Tabular Data
    • Manar Samad, Ibna Kowsar and Shourav Rabbani
  • Machine learning Based Acute Kidney Injury Sub-phenotyping With Time Series Serum Creatinine Data
    • Ho Yin Chan, Alan Yu and Mei Liu
  • Sleep and Arousal Scoring for In-home EEG Signals: A Multitask Learning Approach
    • Juan Carlos Neira Almanza, Leo Ota, Kazumasa Horie, Fusae Kawana, Toshio Kokubo, Masashi Yanagisawa and Hiroyuki Kitagawa
Wednesday, June 5, 3:00PM - 4:30 PM @131 (First Floor)
Paper Session Analytics 6 Social Determinants of Health and Mental Health (Session Chair: Dr. Ping Yu)
  • Analyzing Social Factors to Enhance Suicide Prevention Across Population Groups
    • Richard Xu, Song Wang, Zewei Wang, Yuhan Zhang, Yunyu Xiao, Jyotishman Pathak, David Hodge, Yan Leng, Craig Watkins, Ying Ding and Yifan Peng
  • Measures of Reading Ease and NOVA Food Processing Classification on Ingredients Lists in the United States
    • Kate Cooper, Alivia Ankrum, Martina A. Clarke, Julie Blaskewicz Boron, Jana Ponce and Erin Bass
  • Mobility-Based Community Analysis for Early Detection of Complex Psychiatric Disorders
    • Rama Krishna Thelagathoti and Hesham Ali
  • Personalized Impact of Lifestyle on Type 1 Diabetes Patients: A Comprehensive Regression Analysis
    • Sinan Xie, Jared Leitner and Sujit Dey
Wednesday, June 5, 3:00PM - 4:30PM @234 (Second Floor)
Panel Discussion on XAI (Session Chair: Dr. Gregor Stiglic)

Session Chair will lead the discussion on XAI

Wednesday, June 5, 3:00PM - 4:30 PM @333 (Third Floor)
Paper Session Analytics 7: Patient Representation (Session Chair: Dr. Keith Feldman)
  • A Multi-Graph Fusion Framework for Patient Representation Learning
    • Yuxi Liu, Zhenhao Zhang, Shaowen Qin and Flora Dilys Salim
  • Assertion Detection in Clinical Natural Language Processing using Large Language Models
    • Yuelyu Ji, Zeshui Yu and Yanshan Wang
  • Data Distribution Dynamics in Real-World WiFi-Based Patient Activity Monitoring for Home Healthcare
    • Mahathir Monjur, Jia Liu, Jingye Xu, Yuntong Zhang, Xiaomeng Wang, Chengdong Li, Hyejin Park, Wei Wang, Karl Shieh, Sirajum Munir, Jing Wang, Lixin Song and Shahriar Nirjon
  • Selection Bias from Data Processing in N3C
    • Atefehsadat Haghighathoseini, Mohammad Qodrati, Hua Min, Timothy Leslie, Cara Frankenfeld, Nirup M Menon and Janusz Wojtusiak
  • Online Transfer Learning for RSV Case Detection
    • Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis and Ye Ye
Wednesday, June 5, 3:00PM - 4:30 PM @334 (Third Floor)
Paper Session Analytics 8: Natural Language Processing (Session Chair: Dr. Xiaolei Huang)
  • Automated Concept Indexing for Health Measurement Scale Items through Prompt Learning with Pre-trained Language Models
    • Jie Hao, Zhen Guo, Qinglong Peng, Meng Zhang, Liu Shen, Shan Cong, Jiao Li and Sun Haixia
  • Constructing Cross-lingual Consumer Health Vocabulary with Word-Embedding from Comparable User Generated Content
    • Chia-Hsuan Chang, Lei Wang and Christopher Yang
  • Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts
    • Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow and Goran Nenadic
  • Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery
    • Juncheng Ding, Shailesh Dahal, Bijaya Adhikari and Kishlay Jha
  • Using Generative Large Language Models for Hierarchical Relationship Prediction in Medical Ontologies
    • Hao Liu, Shuxin Zhou, Zhehuan Chen, Yehoshua Perl and Jiayin Wang
Wednesday, June 5, 5:30PM - 6:00PM @Wave Hotel
Meet & Greet

Wednesday, June 5, 6:00PM - 8:30PM @Wave Hotel
Ceremony/Banquet

Thursday, June 6

Thursday, June 6, 8:30 - 9:30 AM @Auditorium(First Floor)
Keynote 3: From Code to Clinic: Ingredients for the Translation of AI Algorithms to the Point of Care
Jens Kleesiek, MD PhD, PhD

Jens Kleesiek

  • Director Medical Machine Learning, Institute for AI in Medicine (IKIM)
  • Associate Director for Data and IT, West German Cancer Center (WTZ)
  • University Hospital Essen, Germany
  • Full-Professor for Translational Image-guided Oncology, University of Duisburg-Essen, Germany
  • Professor of Physics (Adjunct), Dortmund Technical University, Germany
Abstract: AI algorithms are widely recognized as having a crucial role in the future of healthcare and patient care. However, their successful implementation faces several challenges. Most importantly, tangible benefits for patients remain to be shown. Others include certification, monitoring, and billing. This presentation will discuss challenges and necessary components for delivering algorithms at the point of care. The University Hospital Essen, Germany has developed a suitable ecosystem, comprising both people and machines. Practical examples will be provided, and lessons learned will be discussed.

Thursday, June 6, 10:00 AM - 12:00 PM @Auditorium(First Floor)
Industry Research in Healthcare Informatics (Session Chair: Dr. Jens Kleesiek)
  • Clustering Patterns of Use of an Application Delivering Visualizations of Robotic Surgery Data
    • Robert Mostellar and Gretchen Jackson
  • Detecting Clinical Intent in Electronic Healthcare Records in a UK National Healthcare Hospital
    • Kawsar Noor, Katherine Smith, Niamh Ingram, Baptise Ribyere, Tom Searle, Wai Keong Wong and Richard Dobson
  • Harness the Power of Generative AI in Healthcare with Amazon AI/ML Services
    • Sherry Ding and Veda Raman
  • Interpretable Hierarchical Attention Network for Medical Condition Identification
    • Dongping Fang, Lian Duan, Xiaojing Yuan, Allyn Klunder, Kevin Tan, Suiting Cao, Yeqing Ji and Mike Xu
  • Kamino: A Scalable Architecture to Support Medical AI Research Using Large Real World Data
    • Fongci Lin, Patrick Young, Huan He, Jimin Huang, Roger Gagne, Daniel Rice, Nathan Price, Will Byron, Yan Hu, Donn Felker, Will Button, Deniella Meeker, Allen Hsiao, Hua Xu, Charles Torre Jr and Wade Schulz
  • Leveraging Electronic Health Record Systems and Interoperability for Improved Decision Making in Emergency Departments: A Case Study on Troponin Test Decision-Making
    • Joshi Herat
Thursday, June 6, 12:00 - 12:30 PM @Auditorium (First Floor)
Closing Session