Week in Review: Hurdles in regulating AI | AI for chest x-ray | GE deal for BK

Dear AuntMinnie Member,

Artificial intelligence (AI) algorithms are posing a regulatory challenge for the U.S. Food and Drug Administration (FDA), according to our top story from this past week.

In a talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI), FDA scientist Ravi Samala, PhD, discussed the challenges the agency faces in regulating AI and machine-learning software as medical devices. Find out what they are in an article by Senior Editor Erik L. Ridley in our Artificial Intelligence Community.

AI for chest x-ray

Another presentation at C-MIMI that resonated with our members was by researchers from Johns Hopkins University on an AI model that analyzes both frontal and lateral chest radiographs to classify adenopathy.

Finally, don't leave the community without learning about an AI algorithm that could reduce false positives in breast ultrasound, and read about another C-MIMI study regarding a machine-learning algorithm that analyzed brain MRI scans to see if patients would respond to antidepressant treatment.

Get these stories and more in the Artificial Intelligence Community.

GE deal for BK

In a move that portends consolidation in the ultrasound segment, GE Healthcare announced this week that it is planning to acquire BK Medical, a developer of ultrasound technology with offices in Copenhagen, Denmark, and Boston. BK got its start as a specialist in urology ultrasound, but in recent years, the company has expanded into intraoperative imaging and surgical navigation.

In other ultrasound news, a new research study has found that two-thirds of sonographers report scanning while experiencing musculoskeletal pain. That number is too high, but it actually represents a decline from previous studies -- an indication that growing awareness of ergonomic issues in ultrasound is having an impact.

More stories like these can be found in our Ultrasound Community.

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