Last Updated: 09/26/2026
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Found 7 publications
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs.
Journal: Nature communications
Published: December 14, 2022
Deep Learning-Based Digitally Reconstructed Tomography of the Chest in the Evaluation of Solitary Pulmonary Nodules: A Feasibility Study.
Journal: Academic radiology
Published: March 30, 2022
Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19.
Journal: PLOS digital health
Published: January 21, 2022
Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography.
Journal: Journal of the American College of Radiology : JACR
Published: July 13, 2021
Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset.
Journal: Journal of digital imaging
Published: November 27, 2019
Machine Learning Principles for Radiology Investigators.
Journal: Academic radiology
Published: May 28, 2019
Showing 1-7 of 7
Last Updated: 09/26/2026