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Articles 1 - 7 of 7
Full-Text Articles in Law
Potential Liability For Physicians Using Artificial Intelligence, W. Nicholson Price Ii, Sara Gerke, I Glenn Cohen
Potential Liability For Physicians Using Artificial Intelligence, W. Nicholson Price Ii, Sara Gerke, I Glenn Cohen
Articles
Artificial intelligence (AI) is quickly making inroads into medical practice, especially in forms that rely on machine learning, with a mix of hope and hype. Multiple AI-based products have now been approved or cleared by the US Food and Drug Administration (FDA), and health systems and hospitals are increasingly deploying AI-based systems. For example, medical AI can support clinical decisions, such as recommending drugs or dosages or interpreting radiological images.2 One key difference from most traditional clinical decision support software is that some medical AI may communicate results or recommendations to the care team without being able to communicate the …
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 …
Artificial Intelligence In The Medical System: Four Roles For Potential Transformation, Will Nicholson Price Ii
Artificial Intelligence In The Medical System: Four Roles For Potential Transformation, Will Nicholson Price Ii
Articles
Artificial intelligence (AI) looks to transform the practice of medicine. As academics and policymakers alike turn to legal questions, a threshold issue involves what role AI will play in the larger medical system. This Article argues that AI can play at least four distinct roles in the medical system, each potentially transformative: pushing the frontiers of medical knowledge to increase the limits of medical performance, democratizing medical expertise by making specialist skills more available to non-specialists, automating drudgery within the medical system, and allocating scarce medical resources. Each role raises its own challenges, and an understanding of the four roles …
Cannabis For Medical Use: Fda And Dea Regulation In The Hall Of Mirrors, Rebecca S. Eisenberg, Deborah B. Leiderman
Cannabis For Medical Use: Fda And Dea Regulation In The Hall Of Mirrors, Rebecca S. Eisenberg, Deborah B. Leiderman
Articles
A majority of Americans now live in states that purport to authorize medical use of cannabis, although federal law continues to prohibit both recreational and medical use. The current legal regime for cannabis is unstable and may be more effective at deterring research than it is at deterring medical use. Lack of data on medical cannabis products poses public health risks as well as policy and legal challenges. Modified regulatory approaches for other kinds of products provide alternative models for encouraging safety and effectiveness research and providing better information about cannabis products already in clinical use.
Artificial Intelligence In The Medical System: Four Roles For Potential Transformation, W. Nicholson Price Ii
Artificial Intelligence In The Medical System: Four Roles For Potential Transformation, W. Nicholson Price Ii
Articles
Artificial intelligence (AI) looks to transform the practice of medicine. As academics and policymakers alike turn to legal questions, including how to ensure high-quality performance by medical AI, a threshold issue involves what role AI will play in the larger medical system. This Article argues that AI can play at least four distinct roles in the medical system, each potentially transformative: pushing the frontiers of medical knowledge to increase the limits of medical performance, democratizing medical expertise by making specialist skills more available to non-specialists, automating drudgery within the medical system, and allocating scarce medical resources. Each role raises its …
Privacy In The Age Of Medical Big Data, W. Nicholson Price Ii, I. Glenn Cohen
Privacy In The Age Of Medical Big Data, W. Nicholson Price Ii, I. Glenn Cohen
Articles
Big data has become the ubiquitous watch word of medical innovation. The rapid development of machine-learning techniques and artificial intelligence in particular has promised to revolutionize medical practice from the allocation of resources to the diagnosis of complex diseases. But with big data comes big risks and challenges, among them significant questions about patient privacy. Here, we outline the legal and ethical challenges big data brings to patient privacy. We discuss, among other topics, how best to conceive of health privacy; the importance of equity, consent, and patient governance in data collection; discrimination in data uses; and how to handle …
Shadow Health Records Meet New Data Privacy Laws, W. Nicholson Price Ii, Margot E. Kaminski, Timo Minssen, Kayte Spector-Bagdady
Shadow Health Records Meet New Data Privacy Laws, W. Nicholson Price Ii, Margot E. Kaminski, Timo Minssen, Kayte Spector-Bagdady
Articles
Large sets of health data can enable innovation and quality measurement but can also create technical challenges and privacy risks. When entities such as health plans and health care providers handle personal health information, they are often subject to data privacy regulation. But amid a flood of new forms of health data, some third parties have figured out ways to avoid some data privacy laws, developing what we call “shadow health records”—collections of health data outside the health system that provide detailed pictures of individual health—that allow both innovative research and commercial targeting despite data privacy rules. Now that space …