That “black box” AI algorithm your practice just bought might look sleek on a demo screen—but when something goes wrong, it won’t be the software company signing the report. It’ll be you.

In this episode of Contrast & Clarity, Maddi and Jeff interview Ken Davis, Senior Counsel in Healthcare at Katten Law Firm, for a no-fluff conversation about the intersection of radiology, contract law, and the use of artificial intelligence. Together, we dive into the legal realities of AI implementation – and the due diligence that radiologists can’t afford to ignore.

We explore questions like:

· What kind of due diligence should practices perform before deploying AI?

· How do clinical vs. nonclinical AI tools differ from a liability standpoint?

· Why is it important to try to see beyond the black box nature of an algorithm?

· What should new radiologists know about the AI their group uses?

If your practice is using AI – or considering it – this episode is your legal reality check.

Find the prior relevant JACR articles here:

https://www.jacr.org/article/S1546-1440(25)00444-2/abstract

https://www.jacr.org/article/S1546-1440(25)00438-7/abstract

Find Ken Davis’ article “Top Ten Legal Considerations forUse and/or Development of Artificial Intelligence in Healthcare”: https://shorturl.at/0CrE5

Find the additional article mentioned on patients’ views on the use of AI in healthcare: https://shorturl.at/iJ7ia

What happens when AI gets it wrong – and who’s actually on the hook?

In this episode of Contrast & Clarity with the JACR, we sit down with Tanya E. Karwaki, JD, PhD, author of the JACR opinion piece “Balancing Artificial Intelligence Risks and Benefits in an Evolving Legal Environment,” to unpack one of the most uncomfortable – but unavoidable topics in radiology AI: legal risk.

AI adoption in radiology is accelerating, with more than a thousand FDA-approved tools already in circulation. But the legal framework governing their use? Still very much under construction. Dr. Karwaki walks us through why increasing lawsuits may be inevitable, how malpractice standards evolve alongside new technologies, and what radiologists should understand about liability when AI recommendations are followed—or ignored.

From informed consent and data privacy to emerging state-level legislation and disclosure requirements, this conversation provides critical context for anyone navigating AI implementation in clinical practice today.

If you’re using AI, thinking about using AI, or wondering where the legal guardrails actually are—this is an episode you don’t want to miss.

Find the JACR article here: https://www.jacr.org/article/S1546-1440(25)00438-7/abstract

Artificial intelligence isn’t failing radiology. Our healthcareinfrastructure just isn’t ready for it.

In this episode of Contrast & Clarity with the JACR, we cut through the hype to tackle the real reason artificial intelligence hasn’t transformed radiology yet—and it’s not because the algorithms aren’t good enough.

Joined by Michael Bruno, MD, MS and drawing from insightshighlighted at the 2024 Intersociety Summer Conference, Maddi and Jeff unpack the systemic barriers holding AI back: legacy IT systems, fragmented data pipelines, regulatory uncertainty, and workflows that force humans and AI to coexist rather than collaborate.

We discuss:

• Why AI keeps getting treated as a “bolt-on” instead of afoundational tool

• The mismatch between AI’s potential and real-world clinicalworkflows

• Why ROI, governance, and trust—not accuracy—are stalling adoption

• What actually needs to change for AI to move from demo todeployment

This isn’t a conversation about shiny tools or futuristic promises.

It’s about systems, incentives, and the uncomfortable reality that AI won’t fix radiology until we fix the environment it’s deployed into.

If you’ve ever wondered why AI feels simultaneously inevitable and underwhelming—this episode is for you.

Find the JACR article here: https://www.jacr.org/article/S1546-1440(25)00444-2/abstract

Claim your CME credit here: https://shorturl.at/u6Hcj