Schedule – ML4H

Day 1 (December 1st, 2025)

Time	Program
9:00 – 9:10	Coffee
9:10 – 10:40	Tutorial by Matthew McDermott – MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem
10:40 – 10:50	Opening Remarks
10:50 – 11:20	Keynote 1: Paul Liang, PhD
11:20 – 11:40	Perspective: Gabriel Brat, MD; “The Paradox of Dissonant Predictions: A Central Dilemma of Physician-Algorithm Interaction”
11:40 – 12:40	Lunch
12:40 – 13:10	Keynote 2: Serena Yeung, PhD
13:10 – 14:10	Panel: Building Health AI Products Rushika Fernandopulle, PhD, Anitha Kannan, PhD, Raghav Mani. Moderator: Nathan Silberman
14:10 – 14:40	Coffee Break
14:40 – 15:10	Keynote 3: Pierre Elias, MD
15:10 – 15:30	Spotlight Talks 1 “What’s Up, Doc?”: Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets A Foundation Model for Intensive Care: Unlocking Generalization across Tasks and Domains at Scale Deep Kernel Aalen-Johansen Estimator: An Interpretable and Flexible Neural Net Framework for Competing Risks Machine learning reveals hidden diagnoses among underserved patients
15:30 – 16:35	Poster Session 1
16:35 – 17:35	Research Roundtables
17:35	Social

Day 2 (December 2nd, 2025)

Time	Program
9:00 – 9:05	Opening Remarks
9:05 – 10:05	Fireside career chat: Tara Taghavi: Sr. Director of AI at Oracle Health; Stephen Pfohl, PhD: Senior Research Scientist at Google; Irene Chen, PhD: Assistant Professor at UC Berkeley and UCSF in Computational Precision Health
10:05 – 10:25	Spotlight Demos CarDSScan: On-Device AI for Scalable, Privacy-First ECG Interpretation Cancer identification and simulated case prioritization with TumorDetect A versatile medical coding platform for home health agencies RadGame: An AI-Powered Platform for Radiology Education
10:25 – 11:30	Research Roundtables
11:30 – 12:00	Coffee Break
12:00 – 12:30	Keynote 4: Julia Adler-Milstein, PhD
12:30 – 12:50	Perspective: Sherri Rose, PhD; “Machine Learning for Health Should Consider Social Drivers of Health”
12:50 – 13:50	Lunch
13:50 – 14:50	Panel: Clinical Implementation of AI Jonathan Chen, MD, Karandeep Singh, MD, and Anna Goldenberg, PhD. Moderator: Jason Fries, PhD
14:50 – 15:10	Spotlight Talks 2 An Agentic Approach to Phenotype Mapping from Rare Disease Surveys Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment PaDIS-MRI: Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction The CRITICAL Records Integrated Standardization Pipeline (CRISP): End-to-End Processing of Large-scale Multi-institutional OMOP CDM Data
15:10 – 15:25	Coffee Break
15:25 – 16:25	Poster Session 2
16:25 – 16:45	Perspective: Allison Koenecke, PhD; “Listening to Users when Auditing Medical AI Scribes”
16:45 – 17:15	Keynote 5: Emily Fox, PhD
17:15 – 17:20	Closing Remarks