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Adarsh Subbaswamy

Showing results (1-10 of 8) with videos related to

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Biostatistics (Oxford, England)|November 20, 2019
From development to deployment: dataset shift, causality, and shift-stable models in health AIAdarsh Subbaswamy, Suchi Saria
Communications Engineering|July 21, 2025
Scorecard for synthetic medical data evaluationGhada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, et al.
NPJ Digital Medicine|February 5, 2026
Scaling medical device regulatory science using large language modelsHanyang Li, Xiao He, Adarsh Subbaswamy, et al.
Clinical and Translational Science|May 19, 2026
From Precision to Personalized: Catalyzing AI-Enabled Innovation in Drug DevelopmentAdarsh Subbaswamy, Allison Dunn, Brooke Langevin, et al.
NPJ Digital Medicine|November 21, 2024
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperformAdarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, et al.
Journal of the American Medical Informatics Association : JAMIA|May 17, 2022
A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission modelsH Echo Wang, Matthew Landers, Roy Adams, et al.
NPJ Digital Medicine|May 29, 2026
Detecting dataset bias in medical AI using a generalized and modality agnostic auditing approachNathan Drenkow, Mitchell Pavlak, Keith Harrigian, et al.
The New England Journal of Medicine|July 14, 2021
The Clinician and Dataset Shift in Artificial IntelligenceSamuel G Finlayson, Adarsh Subbaswamy, Karandeep Singh, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Biostatistics (Oxford, England)|November 20, 2019
From development to deployment: dataset shift, causality, and shift-stable models in health AIAdarsh Subbaswamy, Suchi Saria
Communications Engineering|July 21, 2025
Scorecard for synthetic medical data evaluationGhada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, et al.
NPJ Digital Medicine|February 5, 2026
Scaling medical device regulatory science using large language modelsHanyang Li, Xiao He, Adarsh Subbaswamy, et al.
Clinical and Translational Science|May 19, 2026
From Precision to Personalized: Catalyzing AI-Enabled Innovation in Drug DevelopmentAdarsh Subbaswamy, Allison Dunn, Brooke Langevin, et al.
NPJ Digital Medicine|November 21, 2024
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperformAdarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, et al.
Journal of the American Medical Informatics Association : JAMIA|May 17, 2022
A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission modelsH Echo Wang, Matthew Landers, Roy Adams, et al.
NPJ Digital Medicine|May 29, 2026
Detecting dataset bias in medical AI using a generalized and modality agnostic auditing approachNathan Drenkow, Mitchell Pavlak, Keith Harrigian, et al.
The New England Journal of Medicine|July 14, 2021
The Clinician and Dataset Shift in Artificial IntelligenceSamuel G Finlayson, Adarsh Subbaswamy, Karandeep Singh, et al.
Pageof 1