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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Artificial intelligence AI in healthcare

Industry Watcher’s Digest

FDA commissioner Robert Califf recently suggested the agency may need to double its workforce. And that’s just to oversee AI. 

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GBCA dose reduced by up to 80% with help from deep learning-based image reconstruction

Although GBCAs are largely considered safe, there are concerns about how gadolinium retention could affect patients who require repeated imaging.

Cardiologist Azeem Latib

First patients treated with Abbott’s new balloon-expandable TAVR valve

Abbott already has an FDA-approved self-expanding TAVR valve, the Navitor system, on the market. The company is now evaluating the safety and effectiveness of a new balloon-expandable device that could potentially be implanted using software guidance. 

FDA Digital Health Advisory Committee

FDA taking the long view of generative AI in healthcare

The FDA’s fledgling Digital Health Advisory Committee (DHAC) only held its first meeting last week, but it has already committed its thinking to writing. 

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Frequent AI use may increase radiologists’ risk of burnout

The problem is particularly pronounced among members of the specialty who already have a high workload or are skeptical of artificial intelligence. 

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3 radiology tech companies make Deloitte’s ‘Fast 500’ with revenue growth of 770% or more

Rad AI grabbed the highest ranking, at #19 on the list, achieving 8,710% revenue growth between 2020 and 2023, followed by Aidoc and PocketHealth. 

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Deep learning-based reconstruction nearly halves spinal MRI acquisition times

The accelerated exam does not come at the expense of image quality, according to new work published in Academic Radiology. 

artificial intelligence AI in healthcare

Industry Watcher’s Digest

An influential industry group, AdvaMed, really likes President-Elect Trump’s choice of Dr. Oz for CMS administrator. 

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