Healthcare AI News 9/4/24

News

A legal advisor recommends that doctors not use AI to respond to patient complaints. She says that AI’s responses may use country-specific laws (most likely from the US), generate misleading statements, and ask for confidential information that could breach privacy laws. She also notes that patients may find AI’s wording to be insincere or indicative that their complaint didn’t warrant a human response.

Business

Aidoc adds seven AI solutions for the European health market. Four of them address notification and triage of vessel occlusion, aortic dissection, vertebral compression fractures, and malpositioned endotracheal tube. The others involve quantitative assessments for midline shift, coronary artery calcification, and abdominal aortic measurement.

Imaging-based real world evidence vendor Segmed raises $10.4 million in a Series A funding round, with Advocate Health being among the investors. The company will use the proceeds to expand its use of AI.

Samsung acquires France-based fetal ultrasound AI software vendor Sonio, whose product is FDA 510(k) cleared in the US, for $92 million.

Research

A study finds that AI models can guess a patient’s self-reported race based on technical aspects of radiology images, which could perpetuate diagnosis bias. The authors note that setting a score threshold for the relevant factors can mitigate some of the bias.

Other

Digital transformation leader David Bray, PhD, MSPH says that it’s imperative that AI-generated outputs be labeled consistently to avoid “AI self-cannibalization,” which occurs when AI models are recursively trained on data that was created by previous AI work. He believes that HL-7 standards could be expanded to provide healthcare data provenance to create a traceable, transparent AI ecosystem and to support interoperability.

Actor Tom Hanks warns fans that online ads for “miracle cures and wonder drugs” are using AI-generate images of him, for which he didn’t consent.

Contacts

Mr. H, Lorre, Jenn, Dr. Jayne.
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