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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FDA updates list of cleared VR, augmented reality devices, with radiology leading the way

The administration has now authorized a total of 69 medical products that incorporate AR/VR since 2015, including 28 in radiology. 

time is brain stroke care hour glass clock turnaround

AI triage system fails to improve radiologist performance or turnaround times

Commercially available software for intracranial hemorrhage detection did not appear to hold up in a prospective, single-center study, experts write in the American Journal of Roentgenology. 

Samsung

Samsung finalizes $92M acquisition of French ultrasound AI firm Sonio

Founded in 2020, the acquired firm offers products to aid physicians in assessing and documenting OB/GYN scans, such as prenatal ultrasounds.

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Segmed, a startup that gathers medical imaging data for AI development, raises $10M

Toronto venture capital firm iGan Partners and 67-hospital Advocate Health led the Series A financing round with participation from other investors. 

Video interview with ACR CEO Dana Smetherman, MD, who explains how the American College of Radiology can help radiology practices evaluate and vet AI.

ACR offers resources to achieve radiology AI best practices

Dana Smetherman, MD, CEO of the American College of Radiology, explains resources available through its Data Science Institute to evaluate and validate the quality of imaging algorithms.

Enlitic

Radiology data sharing vendor Enlitic to acquire rival for $5M

The Fort Collins, Colorado, company is purchasing all shares of Laitek Inc., a major provider of medical imaging data migration and routing services in the U.S. 

Example of AI automated detection and highlighting of critical lung findings on a chest X-ray for a possible lung cancer nodule and fibrosis. Example shown by AI vendor Lunit.

PHOTO GALLERY: Examples of FDA-cleared AI in radiology

This is a photo gallery of artificial intelligence products cleared for clinical use in medical imaging by the U.S. Food and Drug Administration. Radiology by far is the leader of all clinical AI FDA approvals.

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Nearly half of FDA cleared AI medical devices have not been validated on patient data

The FDA’s current draft guidance on the approval process for AI devices does not specify the type of validation the agency recommends manufacturers use. 

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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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