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Science Translational Medicine
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January 28, 2021
Toward robust mammography-based models for breast cancer risk
Adam Yala, Peter G Mikhael, Fredrik Strand, et al.
BMC Medical Imaging
|
September 28, 2024
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
Adrian Serapio, Gunvant Chaudhari, Cody Savage, et al.
JCO Clinical Cancer Informatics
|
July 17, 2019
Do Neural Information Extraction Algorithms Generalize Across Institutions?
Enrico Santus, Clara Li, Adam Yala, et al.
JCO Clinical Cancer Informatics
|
October 2, 2020
Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports
Enrico Santus, Tal Schuster, Amir M Tahmasebi, et al.
Breast Cancer Research and Treatment
|
January 23, 2019
Atypical ductal hyperplasia in men with gynecomastia: what is their breast cancer risk?
Suzanne B Coopey, Kinyas Kartal, Clara Li, et al.
NPJ Digital Medicine
|
May 18, 2026
Prospective deployment of AI-based risk stratification to enable expedited mammography workflow in a safety-net setting
Maggie Chung, Eric Davis, Heather Greenwood, et al.
Nature Medicine
|
January 14, 2022
Optimizing risk-based breast cancer screening policies with reinforcement learning
Adam Yala, Peter G Mikhael, Constance Lehman, et al.
Pancreas
|
September 16, 2023
Successful Development of a Natural Language Processing Algorithm for Pancreatic Neoplasms and Associated Histologic Features
Jon Michael Harrison, Adam Yala, Peter Mikhael, et al.
Scientific Reports
|
November 25, 2025
Human level information extraction from clinical reports with finetuned language models
Longchao Liu, Long Lian, Yiyan Hao, et al.
Breast Cancer Research and Treatment
|
July 19, 2019
Incidental breast carcinoma: incidence, management, and outcomes in 4804 bilateral reduction mammoplasties
Rong Tang, Francisco Acevedo, Conor Lanahan, et al.
Page
of 3
Search research articles
Search
Showing results (11-20 of 27) with videos related to
Sort By:
Page
of 3
Science Translational Medicine
|
January 28, 2021
Toward robust mammography-based models for breast cancer risk
Adam Yala, Peter G Mikhael, Fredrik Strand, et al.
BMC Medical Imaging
|
September 28, 2024
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
Adrian Serapio, Gunvant Chaudhari, Cody Savage, et al.
JCO Clinical Cancer Informatics
|
July 17, 2019
Do Neural Information Extraction Algorithms Generalize Across Institutions?
Enrico Santus, Clara Li, Adam Yala, et al.
JCO Clinical Cancer Informatics
|
October 2, 2020
Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports
Enrico Santus, Tal Schuster, Amir M Tahmasebi, et al.
Breast Cancer Research and Treatment
|
January 23, 2019
Atypical ductal hyperplasia in men with gynecomastia: what is their breast cancer risk?
Suzanne B Coopey, Kinyas Kartal, Clara Li, et al.
NPJ Digital Medicine
|
May 18, 2026
Prospective deployment of AI-based risk stratification to enable expedited mammography workflow in a safety-net setting
Maggie Chung, Eric Davis, Heather Greenwood, et al.
Nature Medicine
|
January 14, 2022
Optimizing risk-based breast cancer screening policies with reinforcement learning
Adam Yala, Peter G Mikhael, Constance Lehman, et al.
Pancreas
|
September 16, 2023
Successful Development of a Natural Language Processing Algorithm for Pancreatic Neoplasms and Associated Histologic Features
Jon Michael Harrison, Adam Yala, Peter Mikhael, et al.
Scientific Reports
|
November 25, 2025
Human level information extraction from clinical reports with finetuned language models
Longchao Liu, Long Lian, Yiyan Hao, et al.
Breast Cancer Research and Treatment
|
July 19, 2019
Incidental breast carcinoma: incidence, management, and outcomes in 4804 bilateral reduction mammoplasties
Rong Tang, Francisco Acevedo, Conor Lanahan, et al.
Page
of 3