1 citations · 1 across the 4 of their papers we have counts for
12 papers
Expert Evaluation of Clinical AI Tools on Real Point-of-Care Clinical Queries
Jean Feng, Vishal Patel, Patrick Heagerty +5
Physicians now pose millions of clinical questions to AI tools each week, yet these tools are evaluated largely on hypothetical or exam-style questions, not those actually asked in…
Adaptive auditing of AI systems with anytime-valid guarantees
Siyu Zhou, Patrick Vossler, Venkatesh Sivaraman +2
A major bottleneck in characterizing the failure modes of generative AI systems is the cost and time of annotation and evaluation. Consequently, adaptive testing paradigms have gai…
From Fuzzy to Formal: Scaling Hospital Quality Improvement with AI
Patrick Vossler, Jean Feng, Venkat Sivaraman +9
Hospital Quality Improvement (QI) plays a critical role in optimizing healthcare delivery by translating high-level hospital goals into actionable solutions. A critical step of QI…
More Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science Processes
Venkatesh Sivaraman, Patrick Vossler, Adam Perer +2
Generative artificial intelligence (AI) tools can now help people perform complex data science tasks regardless of their expertise. While these tools have great potential to help m…
Intelligent Reasoning Cues: A Framework and Case Study of the Roles of AI Information in Complex Decisions
Venkatesh Sivaraman, Eric P. Mason, Mengfan Ellen Li +4
Artificial intelligence (AI)-based decision support systems can be highly accurate yet still fail to support users or improve decisions. Existing theories of AI-assisted decision-m…
TempoQL: A Readable, Precise, and Portable Query System for Electronic Health Record Data
Ziyong Ma, Richard D. Boyce, Adam Perer +1
Electronic health record (EHR) data is an essential data source for machine learning for health, but researchers and clinicians face steep barriers in extracting and validating EHR…