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Suchi Saria

Showing results (61-70 of 71) with videos related to

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Children (Basel, Switzerland)|December 30, 2020
Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility StudyHarpreet Singh, Satoshi Kusuda, Ryan M McAdams, et al.
EGEMS (Washington, DC)|May 4, 2016
Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address ChallengesRuben Amarasingham, Anne-Marie J Audet, David W Bates, et al.
Nature Medicine|February 6, 2025
The MI-CLAIM-GEN checklist for generative artificial intelligence in healthBrenda Y Miao, Irene Y Chen, Christopher Y K Williams, et al.
Nature Medicine|July 21, 2022
Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timingKatharine E Henry, Roy Adams, Cassandra Parent, et al.
Nature Medicine|July 21, 2022
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsisRoy Adams, Katharine E Henry, Anirudh Sridharan, et al.
Nature Medicine|May 18, 2022
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
BMJ (Clinical Research Ed.)|May 18, 2022
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
Nature Medicine|August 12, 2022
Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
Journal of Parkinson'S Disease|May 24, 2020
Deep Phenotyping of Parkinson's DiseaseE Ray Dorsey, Larsson Omberg, Emma Waddell, et al.
The American Journal of Clinical Nutrition|September 2, 2022
Research gaps and opportunities in precision nutrition: an NIH workshop reportBruce Y Lee, José M Ordovás, Elizabeth J Parks, et al.
Pageof 8

Showing results (61-70 of 71) with videos related to

Sort By:
Pageof 8
Children (Basel, Switzerland)|December 30, 2020
Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility StudyHarpreet Singh, Satoshi Kusuda, Ryan M McAdams, et al.
EGEMS (Washington, DC)|May 4, 2016
Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address ChallengesRuben Amarasingham, Anne-Marie J Audet, David W Bates, et al.
Nature Medicine|February 6, 2025
The MI-CLAIM-GEN checklist for generative artificial intelligence in healthBrenda Y Miao, Irene Y Chen, Christopher Y K Williams, et al.
Nature Medicine|July 21, 2022
Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timingKatharine E Henry, Roy Adams, Cassandra Parent, et al.
Nature Medicine|July 21, 2022
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsisRoy Adams, Katharine E Henry, Anirudh Sridharan, et al.
Nature Medicine|May 18, 2022
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
BMJ (Clinical Research Ed.)|May 18, 2022
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
Nature Medicine|August 12, 2022
Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
Journal of Parkinson'S Disease|May 24, 2020
Deep Phenotyping of Parkinson's DiseaseE Ray Dorsey, Larsson Omberg, Emma Waddell, et al.
The American Journal of Clinical Nutrition|September 2, 2022
Research gaps and opportunities in precision nutrition: an NIH workshop reportBruce Y Lee, José M Ordovás, Elizabeth J Parks, et al.
Pageof 8