| Time | Program |
|---|---|
| 13:00 | Opening Remarks |
| 13:15 | Keynote 1 – Jason Fries |
| 13:45 | Keynote 2 – Yukun Zhou |
| 14:15 | Coffee Break |
| 14:30 | Perspective – Matthew McDermott |
| 14:45 | Panel Discussion: The Promise of Foundation Models in Healthcare |
| 15:30 | Research & Mentorship Roundtables |
| 16:30 | Spotlight Talks 1 1. A Bayesian Model for Multi-stage Censoring 2. Transfer Learning for Pediatric Glucose Forecasting 3. HeartMAE: Advancing Cardiac MRI Analysis through Optical Flow Guided Masked Autoencoding 4. Labrador: Exploring the limits of masked language modeling for laboratory data |
| 16:45 | Poster Session 1 |
| 17:45 | Social at Pinnacle Vistas 360° |
| Time | Program |
|---|---|
| 8:55 | Opening Remarks |
| 9:00 | Keynote 3 – Adarsh Subbaswamy |
| 9:30 | Keynote 4 – Shannon McWeeney |
| 10:00 | Coffee Break |
| 10:15 | Perspective – Isaac Kohane |
| 10:30 | Panel Discussion: Navigating the Challenges of Medical AI Deployment |
| 11:15 | Lunch |
| 12:30 | Research & Mentorship Roundtables |
| 13:30 | Spotlight Demos 1. Edge AI for Real-time Fetal Assessment in Rural Guatemala 2. Implementing a Predictive Model to Reduce Hospital Readmissions in a Safety Net Healthcare System 3. ACES: Automatic Cohort Extraction System for Reproducible Machine Learning on Electronic Health Records |
| 13:50 | Spotlight Talks 2 1. Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment 2. Leveraging SDOH Snapshots with LLMs: Advancing Liver Transplant Predictions and Health Equity 3. Multimodal Classification of Alzheimer’s Disease by Combining Facial and Eye-Tracking Data 4. Uncovering Judgment Biases in Emergency Triage: A Public Health Approach Based on Large Language Models |
| 14:15 | Poster Session 2 |
| 15:15 | Coffee Break |
| 15:30 | Closing Keynote – Su-in Lee |
| 16:15 | Closing Remarks |
