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Jack Gallifant

Showing results (11-20 of 39) with videos related to

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British Journal of Anaesthesia|November 13, 2021
Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and biasJack Gallifant, Joe Zhang, Maria Del Pilar Arias Lopez, et al.
Journal of Biomedical Informatics|March 28, 2024
Participant flow diagrams for health equity in AIJacob G Ellen, João Matos, Martin Viola, et al.
NPJ Digital Medicine|October 17, 2025
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behaviorShan Chen, Mingye Gao, Kuleen Sasse, et al.
NPJ Digital Medicine|September 11, 2024
Ethical debates amidst flawed healthcare artificial intelligence metricsJack Gallifant, Danielle S Bitterman, Leo Anthony Celi, et al.
Research Square|May 2, 2025
When Helpfulness Backfires: LLMs and the Risk of Misinformation Due to Sycophantic BehaviorShan Chen, Mingye Gao, Kuleen Sasse, et al.
BMJ Health & Care Informatics|June 21, 2023
Delivering on NIH data sharing requirements: avoiding Open Data in Appearance OnlyHope Watson, Jack Gallifant, Yuan Lai, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 4, 2025
Language Models are Surprisingly Fragile to Drug Names in Biomedical BenchmarksJack Gallifant, Shan Chen, Pedro Moreira, et al.
PLOS Digital Health|July 23, 2024
Diversity and inclusion: A hidden additional benefit of Open DataMarie-Laure Charpignon, Leo Anthony Celi, Marisa Cobanaj, et al.
Critical Care Clinics|September 1, 2024
A Clinician's Guide to Understanding Bias in Critical Clinical Prediction ModelsJoão Matos, Jack Gallifant, Anand Chowdhury, et al.
The Lancet. Digital Health|October 27, 2023
Disparity dashboards: an evaluation of the literature and framework for health equity improvementJack Gallifant, Emmett Alexander Kistler, Luis Filipe Nakayama, et al.
Pageof 4

Showing results (11-20 of 39) with videos related to

Sort By:
Pageof 4
British Journal of Anaesthesia|November 13, 2021
Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and biasJack Gallifant, Joe Zhang, Maria Del Pilar Arias Lopez, et al.
Journal of Biomedical Informatics|March 28, 2024
Participant flow diagrams for health equity in AIJacob G Ellen, João Matos, Martin Viola, et al.
NPJ Digital Medicine|October 17, 2025
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behaviorShan Chen, Mingye Gao, Kuleen Sasse, et al.
NPJ Digital Medicine|September 11, 2024
Ethical debates amidst flawed healthcare artificial intelligence metricsJack Gallifant, Danielle S Bitterman, Leo Anthony Celi, et al.
Research Square|May 2, 2025
When Helpfulness Backfires: LLMs and the Risk of Misinformation Due to Sycophantic BehaviorShan Chen, Mingye Gao, Kuleen Sasse, et al.
BMJ Health & Care Informatics|June 21, 2023
Delivering on NIH data sharing requirements: avoiding Open Data in Appearance OnlyHope Watson, Jack Gallifant, Yuan Lai, et al.
Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing|December 4, 2025
Language Models are Surprisingly Fragile to Drug Names in Biomedical BenchmarksJack Gallifant, Shan Chen, Pedro Moreira, et al.
PLOS Digital Health|July 23, 2024
Diversity and inclusion: A hidden additional benefit of Open DataMarie-Laure Charpignon, Leo Anthony Celi, Marisa Cobanaj, et al.
Critical Care Clinics|September 1, 2024
A Clinician's Guide to Understanding Bias in Critical Clinical Prediction ModelsJoão Matos, Jack Gallifant, Anand Chowdhury, et al.
The Lancet. Digital Health|October 27, 2023
Disparity dashboards: an evaluation of the literature and framework for health equity improvementJack Gallifant, Emmett Alexander Kistler, Luis Filipe Nakayama, et al.
Pageof 4