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. 

Kees Wesdorp

RadNet hires private equity firm leader as new CEO of its Digital Health Division

Kees Wesdorp, PhD, will be based in the Netherlands, collecting an annual base salary of $705,000 and an incentive bonus equal to that amount. 

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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.

Around the web

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

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.