Name
Panel — AI in health systems: reliability, bias, and clinical trust
Description
AI tools are rapidly entering genomic interpretation and clinical decision support, yet questions remain about reliability, bias, explainability, and regulatory oversight. This session explores what is required for AI systems to be trusted in clinical care and how structured standards strengthen benchmarking, transparency, and accountability.
Speakers
Susheel Varma (Session Chair), Sage Bionetworks
Bilal Mateen, PATH
Tudor Groza, BII A*STAR / KK Women’s and Children’s Hospital / PRECISE
Rui-Yao Zhang, TenCent
Melissa Haendel, University of North Carolina
Bilal Mateen, PATH
Tudor Groza, BII A*STAR / KK Women’s and Children’s Hospital / PRECISE
Rui-Yao Zhang, TenCent
Melissa Haendel, University of North Carolina
Date
Tuesday, September 29, 2026
Time
2:30 PM - 3:30 PM (SGT)