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Jenna Wiens

Showing results (71-80 of 83) with videos related to

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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.
Infection Control and Hospital Epidemiology|December 19, 2022
Prospective evaluation of data-driven models to predict daily risk of <i>Clostridioides difficile</i> infection at 2 large academic health centers - ERRATUMMeghana 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.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Evaluating a Widely Implemented Proprietary Deterioration Index Model Among Hospitalized COVID-19 PatientsKarandeep Singh, Thomas S Valley, Shengpu Tang, et al.
JAMA Network Open|June 12, 2025
Guiding Clostridioides difficile Infection Prevention Efforts in a Hospital Setting With AIShengpu Tang, Stephanie Shepard, Rebekah Clark, et al.
Annals of the American Thoracic Society|December 28, 2020
Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19Karandeep Singh, Thomas S Valley, Shengpu Tang, et al.
Nature Medicine|April 28, 2026
Clinical trials for continuously monitored and updated AI systemsWouter A C van Amsterdam, Michael Oberst, Jean Feng, 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.
Pageof 9

Showing results (71-80 of 83) with videos related to

Sort By:
Pageof 9
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.
Infection Control and Hospital Epidemiology|December 19, 2022
Prospective evaluation of data-driven models to predict daily risk of <i>Clostridioides difficile</i> infection at 2 large academic health centers - ERRATUMMeghana 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.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Evaluating a Widely Implemented Proprietary Deterioration Index Model Among Hospitalized COVID-19 PatientsKarandeep Singh, Thomas S Valley, Shengpu Tang, et al.
JAMA Network Open|June 12, 2025
Guiding Clostridioides difficile Infection Prevention Efforts in a Hospital Setting With AIShengpu Tang, Stephanie Shepard, Rebekah Clark, et al.
Annals of the American Thoracic Society|December 28, 2020
Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19Karandeep Singh, Thomas S Valley, Shengpu Tang, et al.
Nature Medicine|April 28, 2026
Clinical trials for continuously monitored and updated AI systemsWouter A C van Amsterdam, Michael Oberst, Jean Feng, 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.
Pageof 9