activity
20192026
most cited"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning

22 citations · 40 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2026

A Randomized Controlled Trial and Pilot of Scout: an LLM-Based EHR Search and Synthesis Platform

Michael Gao, Suresh Balu, William Knechtle +15

Clinical documentation and data retrieval within Electronic Health Records (EHRs) contribute substantially to clinician workload and burnout. To address this, we developed Scout, a…

cs.LG2025★ 2 cited

Sleepless Nights, Sugary Days: Creating Synthetic Users with Health Conditions for Realistic Coaching Agent Interactions

Taedong Yun, Eric Yang, Mustafa Safdari +13

We present an end-to-end framework for generating synthetic users for evaluating interactive agents designed to encourage positive behavior changes, such as in health and lifestyle…

cs.AI2023★ 8 cited

Organizational Governance of Emerging Technologies: AI Adoption in Healthcare

Jee Young Kim, William Boag, Freya Gulamali +13

Private and public sector structures and norms refine how emerging technology is used in practice. In healthcare, despite a proliferation of AI adoption, the organizational governa…

stat.ML2022★ 8 cited

Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare

Mark Sendak, Gaurav Sirdeshmukh, Timothy Ochoa +20

The approaches by which the machine learning and clinical research communities utilize real world data (RWD), including data captured in the electronic health record (EHR), vary dr…

cs.CY2019★ 22 cited

"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning

Mark Sendak, Madeleine Elish, Michael Gao +6

Machine learning technologies are increasingly developed for use in healthcare. While research communities have focused on creating state-of-the-art models, there has been less foc…