9:30 AM – 9:45 AM: Opening Remarks
9:45 AM – 10:15 AM: Dr. Mah Parsa
10:15 AM – 10:45 AM: Prof. Graciela Gonzalez-Hernandez
10:45 AM – 11:15 AM: Prof. James Green
11:15 AM – 11:30 AM: Coffee/Tea Break
11:30 AM – 12:00 PM: Prof. Ali Ayub
12:00 PM – 12:15 PM: MedSynth: Realistic, Synthetic Medical Dialogue-Note Pairs
12:15 PM – 12:30 PM: MHINDR - a DSM5 based mental health diagnosis and recommendation framework using LLM
12:30 PM – 2:00 PM: Lunch Break
2:00 PM – 2:15 PM: HyperKD: Hypergraph-driven Adaptive Knowledge Distillation of LLMs for Healthcare Analytics
2:15 PM – 2:30 PM: Beyond Reactive Bias Mitigation: A Proactive Framework for Equitable LLM Deployment in Global Health
2:30 PM – 2:45 PM: Language-Assisted Feature Representation Learning for Unified Medical Anomaly Detection
2:45 PM – 3:00 PM: Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction
3:00 PM – 3:15 PM: Explainable Medical Reasoning: From Data to Transparent, Trustworthy Clinical Insights
3:15 PM – 3:30 PM: A Little Attention: Model-Specific Explainable Medical Imaging
3:30 PM – 4:00 PM: Coffee/Tea Break
4:00 PM – 4:15 PM: MEDIC-BD: Exploring the Possibilities of Integrating Generative AI into Bangladesh’s Healthcare System to Improve Healthcare Accessibility
4:15 PM – 4:25 PM: On Foundation Model Augmentation for Randomized Control Trials
4:25 PM – 4:35 PM: Skin-SOAP: A Weakly Supervised Framework for Generating Structured SOAP Notes
4:35 PM – 4:45 PM: Perspective Aware Summarization using Prompt Optimization
4:45 PM – 5:00 PM: Under the Microscope: Testing Multi-Token Attention in Clinical Question Answering
5:00 PM – 5:10 PM: When Pain Hides in Silence: ML-Driven Flare-Up Prediction for Hidradenitis Suppurativa Using Synthetic Patient Data
5:10 PM – 5:15 PM: Closing Remarks