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Adam Yala

Showing results (1-10 of 27) with videos related to

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Annals of Surgical Oncology|August 13, 2023
Rethinking Risk Modeling with Machine LearningAdam Yala, Kevin S Hughes
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|April 22, 2022
Reply to M. Eriksson et al and Z. Jin et alAdam Yala, Peter G Mikhael, Kevin Hughes, et al.
Radiology|May 8, 2019
A Deep Learning Mammography-based Model for Improved Breast Cancer Risk PredictionAdam Yala, Constance Lehman, Tal Schuster, et al.
PLOS Digital Health|February 26, 2026
A novel statistical framework for quantifying risks and benefits of AI automation in screening mammographyMichael H Bernstein, Maggie Chung, Adam Yala, et al.
Radiology|August 7, 2019
A Deep Learning Model to Triage Screening Mammograms: A Simulation StudyAdam Yala, Tal Schuster, Randy Miles, et al.
Academic Radiology|February 25, 2020
External Validation of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical PracticeBrian N Dontchos, Adam Yala, Regina Barzilay, et al.
AJR. American Journal of Roentgenology|April 2, 2019
Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image AloneTally Portnoi, Adam Yala, Tal Schuster, et al.
Radiology|October 17, 2018
Mammographic Breast Density Assessment Using Deep Learning: Clinical ImplementationConstance D Lehman, Adam Yala, Tal Schuster, et al.
Breast Cancer Research and Treatment|January 31, 2018
Machine learning to parse breast pathology reports in ChineseRong Tang, Lizhi Ouyang, Clara Li, et al.
Journal of the National Cancer Institute|January 8, 2026
Current state of mammography-based artificial intelligence for future breast cancer risk prediction: a systematic reviewKathryn P Lowry, Han Eol Jeong, Ki Hwan Kim, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Annals of Surgical Oncology|August 13, 2023
Rethinking Risk Modeling with Machine LearningAdam Yala, Kevin S Hughes
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|April 22, 2022
Reply to M. Eriksson et al and Z. Jin et alAdam Yala, Peter G Mikhael, Kevin Hughes, et al.
Radiology|May 8, 2019
A Deep Learning Mammography-based Model for Improved Breast Cancer Risk PredictionAdam Yala, Constance Lehman, Tal Schuster, et al.
PLOS Digital Health|February 26, 2026
A novel statistical framework for quantifying risks and benefits of AI automation in screening mammographyMichael H Bernstein, Maggie Chung, Adam Yala, et al.
Radiology|August 7, 2019
A Deep Learning Model to Triage Screening Mammograms: A Simulation StudyAdam Yala, Tal Schuster, Randy Miles, et al.
Academic Radiology|February 25, 2020
External Validation of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical PracticeBrian N Dontchos, Adam Yala, Regina Barzilay, et al.
AJR. American Journal of Roentgenology|April 2, 2019
Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image AloneTally Portnoi, Adam Yala, Tal Schuster, et al.
Radiology|October 17, 2018
Mammographic Breast Density Assessment Using Deep Learning: Clinical ImplementationConstance D Lehman, Adam Yala, Tal Schuster, et al.
Breast Cancer Research and Treatment|January 31, 2018
Machine learning to parse breast pathology reports in ChineseRong Tang, Lizhi Ouyang, Clara Li, et al.
Journal of the National Cancer Institute|January 8, 2026
Current state of mammography-based artificial intelligence for future breast cancer risk prediction: a systematic reviewKathryn P Lowry, Han Eol Jeong, Ki Hwan Kim, et al.
Pageof 3