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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.
Journal of the American College of Radiology : JACR|October 10, 2023
Should I Stay, or Should I Go? Early Phase Instrument Development of Workforce Movement-A Pilot Study with Breast RadiologistsGrayson L Baird, Martha B Mainiero, Michael H Bernstein, et al.
Journal of the American College of Radiology : JACR|April 6, 2026
Would you like a side of AI with your mammogram? An experimental study of patient willingness to pay for AIGrayson L Baird, Michael H Bernstein, Brian Sheppard, et al.
Frontiers in Medicine|June 1, 2022
Heavy Smoking Patients Receiving a Lung Cancer Screen Want to Quit: A Call for Tailored Cessation InterventionsMichael H Bernstein, Grayson L Baird, Karim Oueidat, et al.
European Radiology Experimental|July 14, 2025
Is a score enough? Pitfalls and solutions for AI severity scoresMichael H Bernstein, Marly van Assen, Michael A Bruno, et al.
Cureus|November 2, 2022
Electronic Cigarettes for Smoking Cessation: The Gap Between Behavior in Smokers and Medical EducationMichael H Bernstein, Karim Oueidat, Patrick Wasserman, et al.
Contemporary Clinical Trials|July 13, 2025
Dismantling open-label placebos and their rationales: A remote 4-arm randomized controlled trial protocolLeo Druart, Parker Lay, Grayson L Baird, et al.
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