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Suchi Saria

Showing results (51-60 of 71) 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.
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.
Nature Medicine|September 10, 2020
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklistBeau Norgeot, Giorgio Quer, Brett K Beaulieu-Jones, et al.
Health Affairs (Project Hope)|January 22, 2025
Artificial Intelligence In Health And Health Care: Priorities For ActionMichael E Matheny, Jennifer C Goldsack, Suchi Saria, et al.
Digital Biomarkers|March 17, 2020
Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical ResearchReham Badawy, Farhan Hameed, Lauren Bataille, et al.
JAMA Neurology|March 28, 2018
Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease ScoreAndong Zhan, Srihari Mohan, Christopher Tarolli, et al.
Critical Care (London, England)|April 8, 2024
Use of artificial intelligence in critical care: opportunities and obstaclesMichael R Pinsky, Armando Bedoya, Azra Bihorac, et al.
JAMIA Open|April 2, 2021
Development and validation of high definition phenotype-based mortality prediction in critical care unitsYao Sun, Ravneet Kaur, Shubham Gupta, et al.
American Journal of Preventive Cardiology|September 12, 2022
Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technologyAamir Javaid, Fawzi Zghyer, Chang Kim, et al.
The American Journal of Bioethics : AJOB|February 12, 2026
Bridging the Gap: Consensus-Based Considerations for AI Usefulness in HealthcareMegan E Salwei, Keith Morse, Suchi Saria, et al.
Pageof 8

Showing results (51-60 of 71) with videos related to

Sort By:
Pageof 8
Nature Medicine|August 21, 2019
Do no harm: a roadmap for responsible machine learning for health careJenna Wiens, Suchi Saria, Mark Sendak, 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.
Nature Medicine|September 10, 2020
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklistBeau Norgeot, Giorgio Quer, Brett K Beaulieu-Jones, et al.
Health Affairs (Project Hope)|January 22, 2025
Artificial Intelligence In Health And Health Care: Priorities For ActionMichael E Matheny, Jennifer C Goldsack, Suchi Saria, et al.
Digital Biomarkers|March 17, 2020
Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical ResearchReham Badawy, Farhan Hameed, Lauren Bataille, et al.
JAMA Neurology|March 28, 2018
Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease ScoreAndong Zhan, Srihari Mohan, Christopher Tarolli, et al.
Critical Care (London, England)|April 8, 2024
Use of artificial intelligence in critical care: opportunities and obstaclesMichael R Pinsky, Armando Bedoya, Azra Bihorac, et al.
JAMIA Open|April 2, 2021
Development and validation of high definition phenotype-based mortality prediction in critical care unitsYao Sun, Ravneet Kaur, Shubham Gupta, et al.
American Journal of Preventive Cardiology|September 12, 2022
Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technologyAamir Javaid, Fawzi Zghyer, Chang Kim, et al.
The American Journal of Bioethics : AJOB|February 12, 2026
Bridging the Gap: Consensus-Based Considerations for AI Usefulness in HealthcareMegan E Salwei, Keith Morse, Suchi Saria, et al.
Pageof 8