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D Gerstley

Showing results (1-10 of 11) with videos related to

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Journal of Esthetic Dentistry|January 1, 1993
Implants: impressions and implications for the '90sE S Rosenberg, D Gerstley, D A Garber, et al.
Journal of Vascular Surgery|November 7, 2025
Large language models accurately extract aortic information from abdominal imaging reports in a large, real-world databaseColleen P Flanagan, Lawrence D Gerstley, Steven Okuhn, et al.
NPJ Digital Medicine|April 8, 2025
Prediction of 1 and 2 week nonelective hospitalization and sepsis hospitalization risk in adultsVincent X Liu, Gabriel J Escobar, Liam O'Suilleabhain, et al.
The Permanente Journal|September 2, 2024
Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine LearningIcelini Stavers-Sosa, David J Cronkite, Lawrence D Gerstley, et al.
Journal of Vascular Surgery|June 12, 2026
When to stop: Optimizing abdominal aortic aneurysm surveillance in the elderlySowmya Mangipudi, Colleen P Flanagan, Annie Wong-On-Wing, et al.
NPJ Digital Medicine|April 5, 2022
Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIREmily B Brant, Jason N Kennedy, Andrew J King, et al.
Journal of Vascular Surgery|May 15, 2026
Validation of large language models for analyzing iliac aneurysm size and morphology in a large disease cohortSowmya Mangipudi, Colleen P Flanagan, Annie Wong-On-Wing, et al.
BMC Psychiatry|February 10, 2026
Development and validation of a machine learning model to identify individuals at high risk for psychotic disorders using medical record dataBen J Marafino, Andrea H Kline-Simon, Icelini Stavers-Sosa, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Cross-Device Adaptation of Mirai for Mammography-Based Breast Cancer Risk PredictionAdriana Sistig, Joseph H Rothstein, Tejomay Gadgil, et al.
Medrxiv : the Preprint Server for Health Sciences|December 8, 2025
Cell-type aware transcriptome-wide association study of mammographic density phenotypesAdriana Sistig, Joseph H Rothstein, Sinan Zhu, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Journal of Esthetic Dentistry|January 1, 1993
Implants: impressions and implications for the '90sE S Rosenberg, D Gerstley, D A Garber, et al.
Journal of Vascular Surgery|November 7, 2025
Large language models accurately extract aortic information from abdominal imaging reports in a large, real-world databaseColleen P Flanagan, Lawrence D Gerstley, Steven Okuhn, et al.
NPJ Digital Medicine|April 8, 2025
Prediction of 1 and 2 week nonelective hospitalization and sepsis hospitalization risk in adultsVincent X Liu, Gabriel J Escobar, Liam O'Suilleabhain, et al.
The Permanente Journal|September 2, 2024
Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine LearningIcelini Stavers-Sosa, David J Cronkite, Lawrence D Gerstley, et al.
Journal of Vascular Surgery|June 12, 2026
When to stop: Optimizing abdominal aortic aneurysm surveillance in the elderlySowmya Mangipudi, Colleen P Flanagan, Annie Wong-On-Wing, et al.
NPJ Digital Medicine|April 5, 2022
Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIREmily B Brant, Jason N Kennedy, Andrew J King, et al.
Journal of Vascular Surgery|May 15, 2026
Validation of large language models for analyzing iliac aneurysm size and morphology in a large disease cohortSowmya Mangipudi, Colleen P Flanagan, Annie Wong-On-Wing, et al.
BMC Psychiatry|February 10, 2026
Development and validation of a machine learning model to identify individuals at high risk for psychotic disorders using medical record dataBen J Marafino, Andrea H Kline-Simon, Icelini Stavers-Sosa, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Cross-Device Adaptation of Mirai for Mammography-Based Breast Cancer Risk PredictionAdriana Sistig, Joseph H Rothstein, Tejomay Gadgil, et al.
Medrxiv : the Preprint Server for Health Sciences|December 8, 2025
Cell-type aware transcriptome-wide association study of mammographic density phenotypesAdriana Sistig, Joseph H Rothstein, Sinan Zhu, et al.
Pageof 2