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Weekly Update
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January 18, 2025 |
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We start this week with a conversation with Maria Villalobos-Quesada, PhD to discuss how machine learning models can be applied in primary care settings. We move on to a cost-effectiveness analysis of digital mammography from Canada, and two viewpoints - one on the challenges and risks of AI-generated clinical summaries, and one on the role of synthetic data in protecting health privacy.
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Medical News & Perspectives
JAMA
Study Finds Limited Evidence to Support More Than 40 Predictive Machine Learning Algorithms Used in Primary Care
Yulin Hswen, ScD, MPH; Jennifer Abbasi
VIEWPOINT
JAMA
AI-Generated Clinical Summaries Require More Than Accuracy
Katherine E. Goodman, JD, PhD; Paul H. Yi, MD; Daniel J. Morgan, MD, MS
JAMA
Synthetic Data and Health Privacy
Gwénolé Abgrall, MD; Xavier Monnet, MD, PhD; Anmol Arora, MB, BChir
ORIGINAL INVESTIGATION
JAMA Network Open
Cost-Effectiveness of Breast Cancer Screening Using Digital Mammography in Canada
Anna N. Wilkinson, MD, MSc; James G. Mainprize, PhD; Martin J. Yaffe, PhD; et al
AUDIO
 Bioethics and AI
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