Contrast and Clarity with the JACR11 Tammi

32. AI Roadblocks Part 1: The Infrastructure Problem CME

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

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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