Imaging volumes are "down."

Radiologist workload is "up."

Length is stay is longer.

Wait. What?

In this episode of Contrast & Clarity with the JACR, Maddi and Jeff sat down with Tina Shiang, MD to unpack her recent analysis of inpatient imaging utilization and radiology workload over the past decade. Here is the twist: when imaging is adjusted for disease severity, overall inpatient imaging utilization actually decreased. But CT and MRI utilization rose sharply - and the professional workload tied to those studies skyrocketed. Translation? There may be fewer studies per patient overall - but we are reading far more complex studies.

If you care about imaging value, radiologist well-being, operational strategy, or the future of hospital-based radiology - this conversation and the underlying data are essential. Because the real question isn't just how much imaging we are doing, it's what kind of imaging we are doing - and who is carrying the weight.

Find the full JACR article here: https://www.jacr.org/article/S1546-1440(25)00278-9/abstract

Claim your CME credit here: https://shorturl.at/m2OyY

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