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Sharon E Davis

Showing results (1-10 of 45) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|July 16, 2025
Gaps in Artificial Intelligence Research for Rural Health in the United States: A Scoping ReviewKatherine E Brown, Sharon E Davis
Journal of the American Medical Informatics Association : JAMIA|May 26, 2026
Explainability in context: calibrating appropriate trust and reliance in artificial intelligenceSharon E Davis, Megan E Salwei
Journal of the American Medical Informatics Association : JAMIA|November 24, 2025
Gaps in artificial intelligence research for rural health in the United States: a scoping reviewKatherine E Brown, Sharon E Davis
JAMA Network Open|February 3, 2026
Avoiding Label Leakage in AI Risk Models-A Shared Responsibility for a Pervasive ProblemMichael E Matheny, Sharon E Davis
Medrxiv : the Preprint Server for Health Sciences|June 30, 2025
Rural Medical Centers Struggle to Produce Well-Calibrated Clinical Prediction Models: Data Augmentation Can HelpKatherine E Brown, Bradley A Malin, Sharon E Davis
Journal of Biomedical Informatics|March 13, 2026
Community medical centers struggle to produce well-calibrated clinical prediction models: Data augmentation can helpKatherine E Brown, Bradley A Malin, Sharon E Davis
Frontiers in Digital Health|September 19, 2022
Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settingsSharon E Davis, Colin G Walsh, Michael E Matheny
Journal of the American Medical Informatics Association : JAMIA|February 29, 2024
Sustainable deployment of clinical prediction tools-a 360° approach to model maintenanceSharon E Davis, Peter J Embí, Michael E Matheny
Substance Use & Misuse|June 20, 2012
An evaluation of the BASICS alcohol risk reduction model among predominantly Hispanic college studentsJoe Tomaka, Rebecca Palacios, Stormy Morales-Monks, et al.
Gastroenterology|May 24, 2025
The Role of Artificial Intelligence in Chronic Liver Diseases and Liver TransplantationAshley Spann, Alexandra T Strauss, Sharon E Davis, et al.
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
Medrxiv : the Preprint Server for Health Sciences|July 16, 2025
Gaps in Artificial Intelligence Research for Rural Health in the United States: A Scoping ReviewKatherine E Brown, Sharon E Davis
Journal of the American Medical Informatics Association : JAMIA|May 26, 2026
Explainability in context: calibrating appropriate trust and reliance in artificial intelligenceSharon E Davis, Megan E Salwei
Journal of the American Medical Informatics Association : JAMIA|November 24, 2025
Gaps in artificial intelligence research for rural health in the United States: a scoping reviewKatherine E Brown, Sharon E Davis
JAMA Network Open|February 3, 2026
Avoiding Label Leakage in AI Risk Models-A Shared Responsibility for a Pervasive ProblemMichael E Matheny, Sharon E Davis
Medrxiv : the Preprint Server for Health Sciences|June 30, 2025
Rural Medical Centers Struggle to Produce Well-Calibrated Clinical Prediction Models: Data Augmentation Can HelpKatherine E Brown, Bradley A Malin, Sharon E Davis
Journal of Biomedical Informatics|March 13, 2026
Community medical centers struggle to produce well-calibrated clinical prediction models: Data augmentation can helpKatherine E Brown, Bradley A Malin, Sharon E Davis
Frontiers in Digital Health|September 19, 2022
Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settingsSharon E Davis, Colin G Walsh, Michael E Matheny
Journal of the American Medical Informatics Association : JAMIA|February 29, 2024
Sustainable deployment of clinical prediction tools-a 360° approach to model maintenanceSharon E Davis, Peter J Embí, Michael E Matheny
Substance Use & Misuse|June 20, 2012
An evaluation of the BASICS alcohol risk reduction model among predominantly Hispanic college studentsJoe Tomaka, Rebecca Palacios, Stormy Morales-Monks, et al.
Gastroenterology|May 24, 2025
The Role of Artificial Intelligence in Chronic Liver Diseases and Liver TransplantationAshley Spann, Alexandra T Strauss, Sharon E Davis, et al.
Pageof 5