Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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ChatGPT large language models radiology health care

AI draws conclusions from interventional radiology adverse events data, helping docs design interventions

University of Toronto experts analyzed information from the U.S. FDA's database, pinpointing reasons that errors occurred during thermal ablation procedures. 

Dana Smetherman, MD, explains the ACR take on the growing radiology staffing shortage.

Radiology workforce shortage a major concern for the American College of Radiology

Dana H. Smetherman, MD, MBA, CEO of the ACR, discusses the reasons behind the worsening shortage of radiologists, along with possible solutions. 

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AI rules out abnormal findings on chest X-rays, significantly reducing workloads

The commercially available software can correctly exclude pathology on chest radiographs with accuracy rates similar to those of radiologists.

Mayo AI algorithm uses 3D body scans to predict risk of metabolic syndrome.

AI tool predicts metabolic disease using 3D body scans

Compared to standard hip-to-waist ratio measurements and BMI, the algorithm identifies significantly more instances of metabolic syndrome and its severity in individual patients.  

artificial intelligence

FDA adds dozens of AI-enabled radiology applications to list of clearances

Around two-thirds of all approved artificial intelligence-powered clinical devices are catered to radiology settings.

American College of Radiology (ACR) CEO Dana H. Smetherman, MD, MPH, MBA, FACR, explains why opportunistic screening is an important AI imaging technology trend radiology practices should be paying attention.

AI opportunistic screening may have tremendous potential to help patients, ACR CEO says

American College of Radiology leader Dana Smetherman, MD, MBA, discusses the new technology trend and why radiologists should be paying attention. 

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AI model matches radiologists at detecting prostate cancer on MRIs

“Reducing the cost and increasing the accessibility of MRI for [clinically significant prostate cancer] is critical for the viability of MRI screening programs," experts wrote. 

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Radiology AI triage solution earns separate, additional Medicare hospital payment

The Centers for Medicare & Medicaid Services revealed the news under the 2025 Inpatient Prospective Payment System rule released on Aug. 1

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Around the web

Health Imaging
Outdated manuals pose MRI safety risks for patients with medical implants

After reviewing years of data from its clinic, one institution discovered that issues with implant data integrity frequently put patients at risk. 

Health Imaging
What might reimbursements for proposed MRI safety CPT codes look like?

Prior to the final proposal’s release, the American College of Radiology reached out to CMS to offer its recommendations on payment rates for five out of the six the new codes.

Health Imaging
'A very, very good thing'—CMS proposes reimbursements for providers' efforts to ensure MRI safety

“Before these CPT codes there was no real acknowledgment of the additional burden borne by the providers who accepted these patients."

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