Showing results (61-70 of 70) with videos related to

Sort By:
Pageof 7
You have reached the last page of results.This site can display upto 70 results.
Journal of the American Medical Informatics Association : JAMIA|March 24, 2025
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsisFahad Kamran, Donna Tjandra, Thomas S Valley, et al.
Neuroinformatics|June 15, 2021
Automated Brain Masking of Fetal Functional MRI with Open DataSaige Rutherford, Pascal Sturmfels, Mike Angstadt, et al.
Proceedings of Machine Learning Research|May 29, 2026
Mind the Performance Gap: Examining Dataset Shift During Prospective ValidationErkin Ötleş, Jeeheh Oh, Benjamin Li, et al.
Nature Medicine|August 21, 2019
Do no harm: a roadmap for responsible machine learning for health careJenna Wiens, Suchi Saria, Mark Sendak, et al.
Infection Control and Hospital Epidemiology|September 19, 2022
Prospective evaluation of data-driven models to predict daily risk of <i>Clostridioides difficile</i> infection at 2 large academic health centersMeghana Kamineni, Erkin Ötleş, Jeeheh Oh, et al.
Nature Medicine|September 21, 2019
Author Correction: Do no harm: a roadmap for responsible machine learning for health careJenna Wiens, Suchi Saria, Mark Sendak, et al.
Infection Control and Hospital Epidemiology|March 27, 2018
A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health CentersJeeheh Oh, Maggie Makar, Christopher Fusco, et al.
Journal of the American Medical Informatics Association : JAMIA|January 8, 2025
AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validationShalmali Joshi, Iñigo Urteaga, Wouter A C van Amsterdam, et al.
JAMA|October 13, 2025
AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial IntelligenceDerek C Angus, Rohan Khera, Tracy Lieu, et al.
Pageof 7