Lu on Regulating Algorithmic Harms,

The world's most comprehensive book on Health, AI and the Law, and it's open access! Link➡️ https://t.co/iGIOOtqOCw edited by @ProfBarrySol and @CohenProf with contributions from leading scholars globally examining: 1. The uses of AI 2. The legal considerations of AI in

🆕 Research Handbook on Health, #AI and the Law, edited by @ProfBarrySol and @CohenProf More info ➡️ https://t.co/aIyQuCAyHI This #OpenAccess title is 🆓 to download ➡️ https://t.co/k3fBrTbw8N @EffyVayena @CKonnoth @TiMinCeBIL @WNicholsonPrice @KasparRosager @VNRahimzadeh

Check out our @WNicholsonPrice & @CohenProf book chapter on liability for use of AI in medicine in this fantastic research handbook on health, AI & the Law @ProfBarrySol

I have a strong recollection of a study showing that #medicalAI studies (or devices) typically didn't report demographics of their data, and that the ones that did were biased. But I can't find it. Anyone know what I'm talking about?

AI is touted as a gamechanger for drug development across the whole cycle. Is it? @LCDruedahl @AmeetSarpatwari, @TiMinCeBIL, & I find...maybe? Modest use, mostly in earlier discovery stages. Lots of potential left! @JAMANetworkOpen https://t.co/rE6CXPV9HR #AI #drugs

🌟 Reflecting on Our "Current Ethical and Legal Issues in Medical AI" Seminar! 🌟On June 17, 2024, #CeBIL and https://t.co/Lnkf4wSWK6 explored key topics in medical AI: ethics, law, case studies, and collaboration. Thanks to all participants! #MedicalAI #Ethics #Law #Innovation

The sufficiency of disclosure of medical artificial intelligence patents https://t.co/0FwPqD57tz

Hot off the press in @NatureBiotech "The Sufficiency of Disclosure of Medical AI Patents with @WNicholsonPrice @CeBIL_Center @cambridgelaw. Full text at: https://t.co/wwuuJ51Aou or https://t.co/WvpqaQuWX8 (1) To what extent are medical AI patents disclosed? How does this level

Khiara Bridges of @BerkeleyLaw has a great new piece laying out bias in medical AI used in maternal care—& making the surprisingly radical suggestion that it should be addressed through wide-ranging informed consent. My @ireadjotwell review: https://t.co/7hgy3hoA34 #medicalAI

When a patient gets injured, who SHOULD be liable? (not who *is*, that's another thing). @cohenprof and I have thoughts! (spoiler: it's hospitals, with a huge caveat!) Final version in DePaul Law Review out now: https://t.co/tti4Ojot0N #ai #liability #medicalai

Particularly proud of this @JAMANetworkOpen piece funded by @genome_gov where we asked 294 genetic researchers whether they are currently using data from diverse ancestral groups, why or why not, and how data stewards can encourage that use? 1/

The final version of @WNicholsonPrice & my paper Locating Liability for Medical AI https://t.co/j5SIBPRCpd part of the @DePaulLaw Review Clifford Torts symposium is now out. The paper is about how to allocate liability between hospitals and developers for medical AI errors.

We hear a lot about how AI could threaten the privacy and security of our health care data. But could too much privacy make our AI biased and less effective? @WNicholsonPrice thinks so. Nicholson makes the case on today's @tradeoffspod: https://t.co/bHRBU2tiY4

We can't address technological #racism without addressing the structural racism in medicine first. When Algorithms and AI Perpetuate Medical Racism, Who’s Responsible? https://t.co/KyKfh893zr by @margoasnipe via @CapitalBNews CC: @NohaAboelataMD @KadijaFerryman @WNicholsonPrice

Re-reading the fantastic article by @RebeccaCrootof, @MargotKaminski and @WNicholsonPrice about artificial intelligence regulation, which I am teaching tomorrow in my Law and Technologies and Life Seminar. This is a must read! https://t.co/76gKGIfptj

#EveningRead Professor @WNicholsonPrice and co-authors ask, How can we enable local health systems to collaboratively & effectively govern #medicalAI? Read: "Enabling collaborative governance of medical AI" in @NatMachIntell:

AI governance is the essential human component that ensures AI we use in healthcare carefully considers relevant human factors. But governance requires resources. In this paper, we outline how local governance can be done collaboratively to make it doable for smaller systems.

How can we enable local health systems to collaboratively & effectively govern #medicalAI? @kdpsinghlab, S. Bali, M. Sendak & I argue (today in @NatMachIntell) that a) it's tough; b) some tasks will be unavoidably local; & c) policy can help. Enjoy! @ https://t.co/QhIRnNkeLR

#EveningRead Profs. @WNicholsonPrice and @CohenProf (@Harvard_Law) on the features of medical AI that complicate the application of existing tort doctrines and render them ineffective at creating incentives for the safe and effective use of medical AI. https://t.co/aJhCDQ8dZE