Contrast and Clarity with the JACR7 Helmi

34. AI Roadblocks Part 3: The Way Forward

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

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(58)

57. The Great Consolidation Free CME Available

Radiology is consolidating. The question isn't whether it's happening - it's who will control what comes next.Andy Moriarity, MD, MBA and David Rosman, MD, MBA join Maddi to unpack what "getting bigge...

4 Loka 42min

56. Whole-Body MRI, Revisited: What Have We Actually Learned? CME

Whole-body MRI promises to find disease before it finds you - but does finding more actually mean living longer or better? Matthew Davenport, MD, MBA, FSABI, FSAR, FACR joins Maddi to revisit the evid...

20 Syys 43min

55. TLDR September 2026 Issue

This September JACR may be short and sweet, but it's packed with surprisingly big ideas. This month's TLDR tackles:Where diagnostic errors really happenWhether radiology AI actually pays for itselfWha...

16 Syys 17min

54. The Turnaround Time Trap

Report turnaround time is easy to track - and faster certainly feels better. But does a faster report actually mean better patient care? And what happens when speed becomes a benchmark tied to physici...

6 Syys 43min

53. Out of Slack: When Radiology Ran Out of Room to Bend

What happens when radiology simply can't read any faster?For nearly a decade, radiologists managed to absorb rising imaging volumes, increasing complexity, and a growing workforce shortage while keepi...

23 Elo 23min

52. TLDR August 2026 Issue

The August issue of the JACR is packed with big questions - and in this month's TLDR, we read it so you don't have to. Join Maddi as she breaks down some of the interesting papers and ideas, including...

16 Elo 55min

51. The Signal Illusion in the Match: More Strategy, Same Chaos CME

Preference signaling was supposed to make the radiology Match smarter: fewer applications, less uncertainty, and a more efficient process for both applicants and programs. But did it actually work?In ...

8 Elo 33min

50. TLDR July 2026 Issue

What do radiology turnaround times, AI-powered software development, MRI helium shortages, and the future of academic radiology all have in common? They are all shaping the future of our specialty - a...

30 Heinä 30min