Law Commons^™

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

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

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 …

Grants, Nicholson Price Ii

Articles

Innovation is a primary source of economic growth and is accordingly the target of substantial academic and government attention. Grants are a key tool in the government’s arsenal to promote innovation, but legal academic studies of that arsenal have given them short shrift. Although patents, prizes, and regulator-enforced exclusivity are each the subject of substantial literature, grants are typically addressed briefly, if at all. According to the conventional story, grants may be the only feasible tool to drive basic research, as opposed to applied research, but they are a blunt tool for that task. Three critiques of grants underlie this …

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 …

Ask A Director: Tackling Technology Competencies, Kincaid C. Brown

Law Librarian Scholarship

Question: What technology competencies do librarians and legal information professionals need to assist their organizations as they grapple with issues such as data analytics, artificial intelligence, etc.?

Health Care Ai: Law, Regulation, And Policy., W. Nicholson Price Ii

Book Chapters

As discussed in previous chapters, artificial intelligence (AI) has the potential to be involved in almost all aspects of the health care industry. The legal landscape for health care AI is complex; AI systems with different intended uses, audiences, and use environments face different requirements at state, federal, and international levels. A full accounting of these legal requirements, or of the policy questions involved, is far beyond the scope of this chapter. Additionally, the legal and regulatory framework for AI in health care continues to evolve, given the nascent stage of the industry.

In this chapter, we offer an overview …

Risks And Remedies For Artificial Intelligence In Healthcare, W. Nicholson Price Ii

Other Publications

Artificial intelligence (AI) is rapidly entering health care and serving major roles, from automating drudgery and routine tasks in medical practice to managing patients and medical resources. As developers create AI systems to take on these tasks, several risks and challenges emerge, including the risk of injuries to patients from AI system errors, the risk to patient privacy of data acquisition and AI inference, and more. Potential solutions are complex but involve investment in infrastructure for high-quality, representative data; collaborative oversight by both the Food and Drug Administration and other health-care actors; and changes to medical education that will prepare …

Targeting Poverty In The Courts: Improving The Measurement Of Ability To Pay Fines, Meghan M. O'Neil, J.J. Prescott

Articles

Ability-to-pay determinations are essential when governments use money-based alternative sanctions, like fines, to enforce laws. One longstanding difficulty in the U.S. has been the extreme lack of guidance on how courts are to determine a litigant’s ability to pay. The result has been a seat-of-the-pants approach that is inefficient and inaccurate, and, as a consequence, very socially costly. Fortunately, online platform technology presents a promising avenue for reform. In particular, platform technology offers the potential to increase litigant access, reduce costs, and ensure consistent and fair treatment—all of which should lead to more accurate sanctions. We use interviews, surveys, and …