Last Updated: 09/26/2026
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Found 16 publications
Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities.
Journal: NEJM AI
Published: January 17, 2025
Triaging mammography with artificial intelligence: an implementation study.
Journal: Breast cancer research and treatment
Published: September 16, 2024
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan.
Journal: Radiology. Artificial intelligence
Published: March 13, 2024
Development of a Machine Learning Model for Sonographic Assessment of Gestational Age.
Journal: JAMA network open
Published: January 04, 2023
Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists.
Journal: Radiology
Published: September 06, 2022
Simplified Transfer Learning for Chest Radiography Models Using Less Data.
Journal: Radiology
Published: July 19, 2022
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment.
Journal: Communications medicine
Published: February 10, 2022
Improving reference standards for validation of AI-based radiography.
Journal: The British journal of radiology
Published: June 18, 2021
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19.
Journal: Scientific reports
Published: March 17, 2021
Reply to: Transparency and reproducibility in artificial intelligence.
Journal: Nature
Published: October 15, 2020
Addendum: International evaluation of an AI system for breast cancer screening.
Journal: Nature
Published: October 15, 2020
Interpretable survival prediction for colorectal cancer using deep learning.
Journal: NPJ digital medicine
Published: July 31, 2020
Last Updated: 09/26/2026