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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How the FDA sees its role vis-à-vis AI in healthcare

The U.S. Food and Drug Administration has its hands full making sure medical AI products are safe, efficacious and trustworthy before they hit the market. The rise of ever-more-innovative iterations of the technology—not least generative AI—is only adding to the burden. 

The iCardio.ai EchoMeasure AI software to automate measurements for cardiac echo imaging. It was FDA cleared in October 2024.

FDA approves AI startup’s new software for echo assessments

iCardio.ai, co-founded by a cardiologist, is part of the Cedars-Sinai Accelerator program. The startup has already announced new partnerships with Viz.ai, Abbott and others in the cardiac health space. 

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Healthcare hirers, jobseekers: Know your healthcare AI

Among AI’s most watchful stakeholders are healthcare organizations in need of AI talent and AI talent in need of work in healthcare. Both groups need to keep up with the technology in its present as well as future iterations.

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CMS updates Medicare coverage for AI-powered coronary plaque assessments

The new policy goes into effect in November, improving Medicare coverage for a technology that has rapidly gained momentum in recent years.

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Survey turns up a ‘troubling disconnect’ between clinicians and IT pros, finds operations leaders ‘caught in the middle’

Some 60% of IT professionals and 51% of operational leaders admit they’re reluctant to involve clinicians in software decisions. 

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ChatGPT is overly worried about ED patients

The popular AI chatbot tends to over-order X-rays, prescribe too many antibiotics and admit too many patients to the hospital when compared with a resident emergency department physician. 

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FDA grants AI-powered ECG screening tool for aortic stenosis its breakthrough device designation

The FDA clearly sees significant potential in this new screening software from New York-based AccurKardia.

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3 things AI startups, investors must know to clear hurdles in healthcare technology markets

As 2024 winds down and the number of FDA-approved medical devices packing AI approaches 1,000—the agency had the tally at 950 as of August—the industry finds itself at a “critical inflection point.” 

Around the web

HHS has thought through the ways AI can and should become an integral part of healthcare, human services and public health. Last Friday—possibly just days ahead of seating a new secretary—the agency released a detailed plan for getting there from here.

Philips is recalling the software associated with its Mobile Cardiac Outpatient Telemetry devices after certain high-risk ECG events were never routed to trained cardiology technicians as intended. The issue, which lasted for two years, has been linked to more than 100 injuries. 

Heart Rhythm Society President Kenneth A. Ellenbogen, MD, detailed a new advocacy group focused on improving EP reimbursements, patient care and access. “If you’re not at the table, you’re on the menu," he said.