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Medical Ai And Contextual Bias, W. Nicholson Price Ii
Medical Ai And Contextual Bias, W. Nicholson Price Ii
Articles
Artificial intelligence will transform medicine. One particularly attractive possibility is the democratization of medical expertise. If black-box medical algorithms can be trained to match the performance of high-level human experts — to identify malignancies as well as trained radiologists, to diagnose diabetic retinopathy as well as board-certified ophthalmologists, or to recommend tumor-specific courses of treatment as well as top-ranked oncologists — then those algorithms could be deployed in medical settings where human experts are not available, and patients could benefit. But there is a problem with this vision. Privacy law, malpractice, insurance reimbursement, and FDA approval standards all encourage developers …
21st Century Cures Act: The Problem With Preemption In Light Of Deregulation, Megan C. Andersen
21st Century Cures Act: The Problem With Preemption In Light Of Deregulation, Megan C. Andersen
University of Michigan Journal of Law Reform
The 21st Century Cures Act introduced innovative changes to the Food and Drug Administration’s regulatory processes. In an effort to address the slow, costly, and burdensome approval process for high-risk devices, the Cures Act modernized clinical trial data by allowing reviewers to determine whether devices merit expedited review and to consider post-market surveillance data in the premarket approval process. These changes will get life-saving devices to the people who need them faster than ever before. But the tradeoff is a greater risk of injury to the patient. The 2008 Supreme Court decision Riegel v. Medtronic, Inc., held that any …