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Tessa S Cook

Showing results (41-50 of 122) with videos related to

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Journal of Digital Imaging|June 17, 2022
Ensemble Approaches to Recognize Protected Health Information in Radiology ReportsHannah Horng, Jackson Steinkamp, Charles E Kahn, et al.
Journal of the American College of Radiology : JACR|July 24, 2025
Toward Pediatric Patient-Friendly Education Material Using Generative Artificial IntelligenceSatvik Tripathi, Dana Alkhulaifat, Hansel J Otero, et al.
Academic Radiology|March 8, 2011
Pulmonary kinematics from image data: a reviewNicholas J Tustison, Tessa S Cook, Gang Song, et al.
AJR. American Journal of Roentgenology|January 9, 2019
Patient Factor Disparities in Imaging Follow-Up Rates After Incidental Abdominal FindingsJoshua K Cho, Hanna M Zafar, Darco Lalevic, et al.
Academic Radiology|October 5, 2024
Large Language Models in Health Systems: Governance, Challenges, and SolutionsSatvik Tripathi, Kyle Mongeau, Dana Alkhulaifat, et al.
Radiology|March 21, 2023
Detecting Common Sources of AI Bias: Questions to Ask When Procuring an AI SolutionAli S Tejani, Tara A Retson, Linda Moy, et al.
Journal of Digital Imaging|September 5, 2019
Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning ClassificationRobert Lou, Darco Lalevic, Charles Chambers, et al.
Academic Radiology|March 2, 2025
Optimizing Radiology Reporting and the Peer Review ProcessEniola T Oluyemi, Jeffrey P Guenette, Tessa S Cook, et al.
Journal of the American College of Radiology : JACR|June 25, 2020
Early Impact of Pennsylvania Act 112 on Follow-up of Abnormal Imaging FindingsGovind S Mattay, Gregory S Mittl, Hanna M Zafar, et al.
Academic Radiology|December 20, 2021
Support From Within: Coaching to Enhance Radiologist Well-Being and PracticeVrushab Gowda, Sheryl G Jordan, Amy Oliveira, et al.
Pageof 13

Showing results (41-50 of 122) with videos related to

Sort By:
Pageof 13
Journal of Digital Imaging|June 17, 2022
Ensemble Approaches to Recognize Protected Health Information in Radiology ReportsHannah Horng, Jackson Steinkamp, Charles E Kahn, et al.
Journal of the American College of Radiology : JACR|July 24, 2025
Toward Pediatric Patient-Friendly Education Material Using Generative Artificial IntelligenceSatvik Tripathi, Dana Alkhulaifat, Hansel J Otero, et al.
Academic Radiology|March 8, 2011
Pulmonary kinematics from image data: a reviewNicholas J Tustison, Tessa S Cook, Gang Song, et al.
AJR. American Journal of Roentgenology|January 9, 2019
Patient Factor Disparities in Imaging Follow-Up Rates After Incidental Abdominal FindingsJoshua K Cho, Hanna M Zafar, Darco Lalevic, et al.
Academic Radiology|October 5, 2024
Large Language Models in Health Systems: Governance, Challenges, and SolutionsSatvik Tripathi, Kyle Mongeau, Dana Alkhulaifat, et al.
Radiology|March 21, 2023
Detecting Common Sources of AI Bias: Questions to Ask When Procuring an AI SolutionAli S Tejani, Tara A Retson, Linda Moy, et al.
Journal of Digital Imaging|September 5, 2019
Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning ClassificationRobert Lou, Darco Lalevic, Charles Chambers, et al.
Academic Radiology|March 2, 2025
Optimizing Radiology Reporting and the Peer Review ProcessEniola T Oluyemi, Jeffrey P Guenette, Tessa S Cook, et al.
Journal of the American College of Radiology : JACR|June 25, 2020
Early Impact of Pennsylvania Act 112 on Follow-up of Abnormal Imaging FindingsGovind S Mattay, Gregory S Mittl, Hanna M Zafar, et al.
Academic Radiology|December 20, 2021
Support From Within: Coaching to Enhance Radiologist Well-Being and PracticeVrushab Gowda, Sheryl G Jordan, Amy Oliveira, et al.
Pageof 13