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Topic-Contributed Paper Session

Using Generative AI for Actionable Clinical and Real-World Insights

Tue, Aug 4, 4:00 PM - 5:50 PM Room CC-106 Thomas M. Menino Convention & Exhibition Center

Annabel TanOrganizerSummer HanChair

Section on Text Analysis co: Health Policy Statistics Sectionco: Korean International Statistical Society Applied

5 Presentations

From Narratives to Insights: Applying Large Language Models for Real-world Evidence Generation

4:05 PM - 4:25 PM

Vipina Keloth (Yale University)

Large language models Real-world studies Electronic health records Unstructured data social determinants AI agents

Multi-Agent Systems for Clinical Trial Design and Optimization

4:25 PM - 4:45 PM

Statistical decision-making Regulatory data analysis Evaluation benchmarks Clinical trial design

Leveraging Generative AI to Identify CT Imaging Indications for Post-Treatment Surveillance in Lung Cancer

4:45 PM - 5:05 PM

Co-authors: Annabel Tan

Large language models Electronic health records Lung cancer

Last-Mile Alignment in Generative AI: From Data Source Failures to User-Aligned Clinical Tools

5:05 PM - 5:25 PM

Shan Chen (Harvard University)

GenAI LLM Alignment

From Code to Clinic: Generative AI-Assisted Development of Real-World Digital Health Applications

5:25 PM - 5:45 PM

Vishnu Ravi (Stanford University School of Medicine)

Co-authors: Vishnu Ravi (Stanford University School of Medicine), Oliver Aalami (Stanford Mussallem Center for Biodesign), Aydin Zahedivash (Stanford School of Medicine), Santiago Gutierrez (Stanford Mussallem Center for Biodesign), Paul Schmiedmayer (Stanford Mussallem Center for Biodesign)

Generative AI–assisted development Digital health evaluation Development time-to-delivery metrics Comparative workflow analysis

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