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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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.  

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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

Dana H. Smetherman, MD, MPH, MBA, FACR, the new CEO of the American College of Radiology (ACR), explains some of the hot button issues in radiology and advocacy efforts led by the ACR.

New ACR CEO outlines key concerns for radiology

Dana Smetherman, MD, MBA, explains some of the hot button issues in imaging and key advocacy efforts being undertaken by the college. 

Artificial intelligence significantly reduces lumbar spine MRI interpretation times

Assessing lumbar spinal stenosis can be a “repetitive and time-consuming activity,” experts detailed in the European Journal of Radiology. 

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Around the web

Health Imaging
American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

Health Imaging
AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.

Health Imaging
Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.