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2024 AI in Medicine Symposium at Yale School of Medicine

🧬 🤖 Join our groundbreaking symposium for medical professionals and technology enthusiasts! Are you eager to explore the cutting-edge intersection of artificial intelligence and medicine?

Our AI in Medicine Symposium, led by Andrew Taylor, MD, MHS, is curated to offer you deep insights into this rapidly evolving field. Join us for this comprehensive symposium on Friday, February 2.

Discover how AI is transforming biomedical imaging, NLP, clinical applications, bioinformatics, and more. Engage in dynamic lightning talks, panel discussions, and a poster session that will enrich your understanding and network in the realm of medical AI.

The symposium is open to all members of the Yale community. Please register for the symposium here. A virtual option is available as well for remote attendees, but the poster sessions will be in-person only.


8:30 - 9 AM Opening Remarks

Dean Nancy J. Brown, MD, Jean and David W. Wallace Dean of the Yale School of Medicine and C.N.H.Long Professor of Internal Medicine

Lucila Ohno-Machado, MD, MBA, PhD, Waldemar von Zedtwitz Professor of Medicine and Biomedical Informatics and Data Science; Deputy Dean for Biomedical Informatics

9 - 10 AM Lightning Talks I

Biomedical Imaging/Computer Vision

Moderated by Rohan Khera, MD, MS

Enhancing Brain Positron Emission Tomography Image Quality with Artificial Intelligence Head Motion Correction. Eléonore V. Lieffrig, Biomedical Engineering

A Multimodality Video-Based Artificial Intelligence Biomarker for Aortic Stenosis Development and Progression.
Evangelos K. Oikonomou, MD, DPhil, Internal Medicine (Cardiology)

Enhancing Prostate Cancer Diagnosis from Medical Imaging via Image Geometry-Informed Deep Learning.
Joanna Chen, Biomedical Engineering, MD-PhD Program

Valvular Flow MRI: 2D Phase-Contrast of the Tricuspid Valvular Flow with Automated Valve-Tracking by Deep Learning.
Dana Peters, PhD, Radiology

10 - 11 AM Panel I

Generative AI in Medical Education, Basic Science, Clinical Practice

Moderated by Annie Hartley, MD, PhD, MPH


Hua Xu, PhD
Robert T. McCluskey Professor of Biomedical Informatics and Data Science; Vice Chair for Research and Development, Section of Biomedical Informatics and Data Science; Assistant Dean for Biomedical Informatics, Yale School of Medicine

Rohan Khera, MD, MS
Assistant Professor of Medicine (Cardiovascular Medicine) and of Biostatistics (Health Informatics); Clinical Director, Center for Health Informatics and Analytics, YNHH/Yale Center for Outcomes Research & Evaluation (CORE); Director, Cardiovascular Data Science Lab (CarDS)

Mark Gerstein, PhD
Albert L Williams Professor of Biomedical Informatics, Professor of Molecular Biophysics & Biochemistry, Professor of Computer Science, and Professor of Statistics & Data Science

11 - 11:15 AM Coffee Break

11:15 AM - 12:15 PM Lightning Talks II

Generative AI & Natural Language Processing (NLP)

Moderated by Arman Cohen, PhD

Call It A Night: Leveraging Natural Language Processing to Evaluate User Experiences with a Digital Sleep Intervention to Reduce Drinking. Frances J. Griffith, PhD, Psychiatry

Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk.
Colleen Chan and Sunny Chung, MD, Statistics & Data Science

Rethink Biomedical Literature Search and Visualization in the Era of Large Language Models – A Prototype Development.
Huan He, PhD, Biomedical Informatics & Data Science

Me LLaMA: A Suite of Large Language Models, Datasets, and Tools for Medical Application.
Qianqian Xie, PhD, Biomedical Informatics & Data Science

12:15 - 1:15 PM Lunch and Poster Session

1:15 - 2:15 PM Lightning Talks III

Clinical Applications of AI

Moderated by Dennis L Shung, MD, MHS, PhD

Enhancing Clinical Decision Support Accuracy Through a Retrieval Augmented Generation Pipeline for Large Language Models. Mauro Giuffrè, MD, Internal Medicine (Digestive Disease)

MEDAGENTS: Large Language Models as Collaborators for Zero-Shot Medical Reasoning.
Xiangru Tang, Computer Science

ECG-GPT: Automated Complete Diagnosis Generation from ECG Images Using Novel Vision-Text Transformer Model.
Akshay Khunte, Computer Science, Internal Medicine (Cardiovascular Medicine)

Neural Networks for Kidney Injury Decision Making.
William J. Zhang, Chronic Disease Epidemiology

2:15 - 3:15 PM Panel II

Yale New Haven Health System-Yale School of Medicine AI Partnerships

Moderated by Wade Schulz, MD, PhD


Lee Schwamm, MD
Associate Dean, Digital Strategy and Transformation, Office of the Dean, Yale School of Medicine; Professor in Biomedical Informatics & Data Sciences at Yale School of Medicine; Senior Vice President and Chief Digital Health Officer, Yale New Haven Health System

Allen Hsiao, MD, FAAP, FAMIA
Professor of Pediatrics (Emergency Medicine) and of Emergency Medicine; Interim Chief, Pediatric Emergency Medicine; Chief Health Information Officer, Yale School of Medicine & Yale New Haven Health, Yale School of Medicine

Daniella Meeker, PhD
Associate Professor of Biomedical Informatics and Data Science; Chief Research Information Officer, Yale School of Medicine and Yale New Haven Health System

3:15 - 3:30 PM Coffee Break

3:30 - 4:30 PM Lightning Talks IV

Clinical Applications & Bioinformatics

Moderated by Andrew Taylor, MD, MHS

RCT-Twin-GAN Generates Digital Twins of Randomized Control Trials Adapted to Real-World Patients to Enhance Their Inference and Application. Phyllis Thangaraj, MD, PhD, Cardiology

A Roadmap to Artificial Intelligence (AI): Methods for Designing and Building AI Ready Data to Promote Fairness.
Farah Kidwai-Khan, DEng, General Internal Medicine, Biomedical Informatics & Data Science

Quantum Clique Detection in Biological Graph Networks.
Sarah N. Dudgeon, Computational Biology & Bioinformatics

Grappling with 1060: Geometric Deep Learning for Drug Discovery & Indication Expansion.
Dhananjay Bhaskar, PhD, Genetics

4:40 - 4:45 PM Closing Remarks

Andrew Taylor, MD, MHS

4:45 - 6 PM Reception & Poster Session

List of Posters

Artificial Intelligence in Medical Imaging Physics: PET, SPECT, and CT
Chi Liu, PhD

Artificial Intelligence-Based Morpho-Volumetric Analysis of Pre- and Post-EVAR Infrarenal Abdominal Aortic Aneurysms Characterized on Computed Tomography Angiography

David Weiss, MD; Thomas Hager, BS; Mariam Aboian, MD, PhD; MingDe Lin, PhD; Daniel Renninghoff, MSc; Wolfgang Holler, MSc; Uwe Fischer, MD, PhD; Cornelius Deuschl, MD; Sanjay Aneja, MD; Edouard Aboian, MD

Evaluating the Utility of Federated Learning Algorithms for Diagnostic Medical Imaging in Oncology

Durga V. Sritharan, BS; Ryan Maresca, BS; Saahil Chadha, BA; Nicholas S. Moore, MD; Victor Lee, MD; Thomas Hager, MS; Sanjay Aneja, MD

A Novel Vision Transformer-Based Pipeline for Direct Inference on Single-Lead Electrocardiographic Spectrograms

Elizabeth Knight MS; Evangelos K. Oikonomou MD, DPhil; Akshay Khunte; Arya Aminorroaya, MD, MPH; Lovedeep Singh Dhingra, MBBS; Andreas Coppi, PhD; Rohan Khera, MD, MS

Neuroimage Analysis in Autism: From Model-based Estimation to Data-Driven Learning

Jiyao Wang, Nicha Dvorak, Xiaoxiao Li, Juntang Zhuang, Larry Staib, Denis Sukhodolsky, Pam Ventola, James S Duncan

Integrating Multimodal Data to Automatically Segment Lesions in Prostate MRI

Jiayang Zhong; Lawrence H. Staib, PhD; Rajesh Venkataraman, PhD; John A. Onofrey, PhD

Identification of Hypertrophic Cardiomyopathy on Electrocardiographic Images with Deep Learning

Lovedeep Singh Dhingra, MBBS; Veer Sangha, BS; Evangelos K. Oikonomou, MD, DPhil; Arya Aminorroaya, MD, MPH; Nikhil V. Sikand, MD, FACC; Sounok Sen, MD; Harlan M. Kumholz, MD, SM; Rohan Khera, MD, MS

Beyond Result Reporting on the Testing Set: Enhancing AI-Assisted Medical Imaging Diagnostic Workflow, External Validations, and Continued Training
A Case Study on AI-Assisted Age-Related Macular Degeneration Diagnosis
Qingyu Chen, PhD; Tiarnan D. L. Keenan, BM, BCh, PhD; Michael F. Chiang, MD, MA; Michelle R. Hribar, PhD; Emily Y. Chew, MD; Zhiyong Lu, PhD

Evaluating the Utility of Self-Configuring Capsule Networks for Brain Image Segmentation

Saahil Chadha, BA; Arman Avesta, MD, PhD; Durga Sritharan, BS; Sajid Hossain, MS; Rahul D’Souza; MingDe Lin, PhD; Mariam Aboian, MD, PhD; Harlan Krumholz, MD, SM; Sanjay Aneja, MD

Semi-Automatic Approach to Estimate the Severity of Steatosis from Ultrasound Images

Simone Kresevic, Mauro Giuffrè, MD; Milos Ajcevic, PhD; Carlo Moretto; Lory Saveria Crocè, MD; Dennis L. Shung, MD, MHS, PhD; Agostino Accardo, MEng

Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning

Tal Zeevi; Lawrence H. Staib, PhD; John A. Onofrey, PhD

Lymph Node Metastasis Prediction with Non-Small Cell Lung Cancer Histopathology Imaging

Victor Lee, MD; Amber Loren O. King, MD; Durga Sritharan, BS; Nicholas S. Moore, MD; Saahil Chadha, BA; Ryan Maresca, BS; Tommy Hager, MS; Henry S. Park, MD, MPH; Sanjay Aneja, MD

Attention Mechanisms Integrated Deep Learning for Differential Diagnosis of Hepatocellular Carcinoma on Multiphase Liver CT

Yuenan Wang, PhD, DABR

Automated Image Segmentation of Electron Microscopy Images from Hemostatic Thrombi Formed in vivo

Ziyi Huang; Meghan Roberts; Catherine House; Sandra J. Young; Maurizio Tomaiuolo, PhD; Timothy J. Stalker, PhD; Lu Lu, PhD; Talid Sinno, PhD

Development and Multinational Validation of a Machine Learning-Based Optimization for Efficient Screening for Elevated Lipoprotein(a)
Arya Aminorroaya MD, MPH; Lovedeep Singh Dhingra, MBBS; Evangelos K. Oikonomou, MD, DPhil; Seyedmohammad Saadatagah, MD; Phyllis Thangaraj, MD, PhD; Sumukh Vasisht Shankar, MS; Erica S. Spatz, MD, MHS; Rohan Khera, MD, MS

Evaluating the Efficacy of Open-Source Large Language Models in Generating Patient Referral Letters for Specialist Psychiatric Evaluation

Brennan Gibson

Using Machine Learning to Predict Early Substance Use Using a Nationally Representative Sample of U.S. Adolescents

Gaoqianxue Liu; Catherine Jeon; Jenny Meyer; Uzochukwu Imo; Kammarauche Aneni, MBBS, MHS

Machine Learning-Based Prediction of Inhibitors and Activators of Alpha-glucosidase as Therapeutics for Type 2 Diabetes Mellitus and Pompe Disease

Gertrude Asumpaame Alayine

CarDS-Plus ECG Platform: Development and Feasibility Evaluation of a Multiplatform Artificial Intelligence Toolkit for Portable and Wearable Device Electrocardiograms

Sumukh Vasisht Shankar, MS; Evangelos K. Oikonomou, MD, DPhil; Rohan Khera, MD, MS

A Multicenter Evaluation of the Impact of Procedural and Pharmacological Interventions on Deep Learning-Based Electrocardiographic Markers of Hypertrophic Cardiomyopathy

Lovedeep Singh Dhingra, MBBS; Veer Sangha, BS; Arya Aminorroaya, MD, MPH; Robyn Bryde, MD; Andrew Gaballa, MD; Adel H. Ali, MD; Nandini Mehra, MD; Harlan M. Krumholz, MD, SM; Sounok Sen, MD; Christopher M. Kramer, MD; Matthew W. Martinez, MD; Milind Y. Desai, MD, MBA; Evangelos K. Oikonomou, MD, DPhil; Rohan Khera, MD, MS

The Art of the Discharge: Proposal for Implementing Generative AI in Healthcare

Daniel Fitzgerald

PRESENT-SHD, An Ensemble Deep Learning Model to Automate Screening for Multiple Structural Heart Diseases on 12-Lead Electrocardiograms
Lovedeep Singh Dhingra, MBBS; Arya Aminorroaya, MD, MPH; Akshay Khunte; Veer Sangha, BS; Sounok Sen, MD; Norrisa Haynes, MD, MPH; Harlan M. Krumholz, MD, SM; Rohan Khera, MD, MS

An Artificial Intelligence Clinical Decision Support System in a Medical Simulation: Qualitative Feedback

Niroop Rajashekar; Yeo Eun Shin; Yuan Pu; Sunny Chung; Kisung You; Mauro Giuffrè, MD; Colleen E. Chan; Theo Saarinen; Allen Hsiao; Jasjeet Sekhon; Ambrose H. Wong; Leigh V. Evans; Rene F. Kizilcec; Loren Laine; Terika McCall; Dennis L. Shung, MD, MHS, PhD

Personalizing the Empiric Treatment of Gonorrhea Using Machine Learning Models

Rachel Murray-Watson, PhD

Prognostic Biomarkers of Intracerebral Hemorrhage Identified Using Targeted Proteomics and Machine Learning Algorithms

Shubham Misra, PhD; Yuki Kawamura; Praveen Singh; Shantanu Sengupta; Manabesh Nath; Zuhaibur Rahman; Pradeep Kumar; Amit Kumar; Praveen Aggarwal; Achal K. Srivastava; Awadh K. Pandit; Dheeraj Mohania; Kameshwar Prasad; Nishant Kumar Mishra, MD, PhD; Deepti Vibha

Lessons from Clinical Communication for Human Centered AI

Zahra Abba Omar

Pilot Surveillance for Herbal Natural Product Use and Interactions Assessment: Methodology and Insights from an Expanded National U.S. Database

Yuelei (Emily) Fu; Termeh Feinberg, PhD, MPH

Pedictive Modeling of Racial Disparity in Teenage Hospitalizations

Ryan Wu, MS; Azadeh Miran, MS; Yan Cheng, PhD; Yijun Shao, PhD; Joseph L. Goulet, PhD; Qing Zeng-Treitler, PhD

DocuMental: Enhancing Mental Health Documentation Through a Secure, Generative AI Workflow

Thomas Fernandez, MD

The Endorsement of General and Artificial Intelligence Reporting Guidelines in Medical Informatics Journals: A Meta-Research Study
Alyssa Grimshaw, MSLIS, MBA; Dennis L. Shung, MD, MHS, PhD

Clinical Characteristics and Outcomes of Patients with Post-Stroke Epilepsy: Protocol for an Individual Patient Data Meta-Analysis

Nishant Kumar Mishra, MD, PhD; Patrick Kwan, MD; Tomotaka Tanaka, MD, PhD; Katherina Sunnerhagen, MD; Jesse Dawson, MD; Yize Zhao, PhD; Shubham Misra, PhD; Selena Wang, PhD; Vijay K. Sharma, MD; Rajarshi Mazumder, MD; Melissa C. Funaro, MS; Masafumi Ihara, MD; John-Paul Nicolo, MD; David S. Liebeskind, MD; Clarissa L. Yasuda, MD, PhD; Fernando Cendes, MD; Terence J. Quinn, MD; Zongyuan Ge, PhD; Fabien Scalzo, PhD; Johan Zelano, MD; Scott E. Kasner, MD

Enhancing Algorithmic Equity by Capturing Sources of Outcome Variance in Minoritized Populations

Christopher Fields, PhD

Transfer Learning on Physics-Informed Neural Networks for Tracking the Hemodynamics in the Evolving False Lumen of Dissected Aorta

Mitchell Daneker; Shengze Cai; Ying Qian; Myzelev; Arsh Kumbhat; Xiaoning Zheng; He Li; Lu Lu

Closing the AI Implementation Gap

Jessica Morley, PhD

Exploring Convolutional Neural Networks for Facial-Image-Based Diagnosis of Marfan Syndrome

John A. Elefteriades, MD; Danny Saksenberg, BS; David Aronowitz, MBA; Mohammad A. Zafar, MBBS; Bulat A. Ziganshin, MD, PhD; Asanish Kalyanasundaram, MD

You, Too, Can Responsibly Use Generative AI

Michael Ljung

Detection of Multiple Structural Heart Diseases Using a Novel Artificial Intelligence-Driven Algorithm for Noisy Real-World Single-Lead ECGs

Arya Aminorroaya, MD, MPH; Akshay Khunte; Lovedeep Singh Dhingra, MBBS; Veer Sangham, BS; Evangelos K. Oikonomou, MD, DPhil; Sounok Sen, MD; Norrisa Haynes, MD, MPH; Harlan M. Krumholz, MD, SM; Rohan Khera, MD, MS

Novel Application of Flow Matching to Model Dynamic Risk in ICU Patients with Sepsis

Yuan Pu

Using Artificial Intelligence to Identify Opportunities to Include Sex and Gender Content in Medical Education
Aeka Lakshmi Guru; Haleigh Larson; Kelsey Martin, MD; Margaret Pisani, MD; Carolyn Mazure, PhD

Supporting Hematologic Tissue Bank Research Through LLM-Based Information Extraction from Real-World Data

Erin Lee; Ahmad Kiwan, MD/PhD; Martin Matthews; Jennifer VanOudenhove, PhD; Sarah N. Dudgeon; Patrick Young, PhD; Thomas Durant, MD; Wade Schulz, MD, PhD; Stephanie Halene, MD, Dr Med

Accelerated Extraction of Cardiac MRI Parameters Using Open-Source Clinical Large Language Models

James L. Cross; Ruben Mora, MD; David van Dijk, PhD, MSc; Jennifer M. Kwan, MD/PhD

Inductive Thematic Analysis of Healthcare Qualitative Interviews Using Open-Source Large Language Models: How Does It Compare To Traditional Methods?

Walter S. Mathis, MD

Natural Language Processing of Radiology Reports for Retrospective Classification of Oligometastatic Non-Small Cell Lung Cancer

Nicholas S. Moore, MD; James H. Laird, MD; Nipun Verma, MD, PhD; Thomas Hager, MS; Durga Sritharan, BS; Ryan Maresca, BS; Victor Lee, MD; Saahil Chadha, BA; Henry S. Park, MD, MPH; Sanjay Aneja, MD

Clinical and Biomedical Named Entity Recognition Using Generative Pre-Trained Transformer Models

Vipina Keloth, PhD

A Deep Learning Approach for Automated Extraction and Categorization of Functional Status and New York Heart Association Class for Heart Failure Patients During Outpatient Encounters

Philip Adejumo, BS; Lovedeep Singh Dhingra, MBBS; Arya Aminorroaya, MD, MPH; Xinyu Zhao, BS; Rohan Khera, MD, MS

A Systematic Evaluation of Large Language Models for Biomedical Natural Language Processing: Benchmarks, Baselines, and Recommendations

Qingyu Chen, PhD; Jingcheng Du, PhD; Yan Hu; Vipina Kuttichi Keloth, PhD; Xueqing Peng, PhD; Kalpana Raja, PhD, MRSB, CSci; Qianqian Xie, PhD; Aidan Gilson; Maxwell Singer, MD; Ron A. Adelman, MD, MPH, MBA, FACS; Rui Zhang, PhD; Zhiyong Lu, PhD, FACMI; Hua Xu, PhD, FACMI




Host Organization




Conferences and Symposia


Lunch, Coffee, Snacks, and Tea