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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Healthcare market research firm Press Ganey scooped up in $6.75B AI merger

Qualtrics, which uses artificial intelligence to measure public satisfaction and consumer trends, is buying Press Ganey outright, citing the need for more healthcare-specific data to improve its technology. 

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As costs rise, more patients are turning to 'DIY healthcare'

With a combination of ChatGPT, at-home diagnostic devices and smartphone apps, a growing number of patients are taking their health into their own hands. But experts warn there are risks.

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Healthcare AI today: State-level regulation, a doubled budget, White House vs. CHAI, more

California, Illinois, Nevada and Texas. There’s your answer should anyone ask you which states are burning to regulate healthcare AI while Washington fiddles.

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Radiology Partners supplements regular breast screenings with as-needed—and AI-aided—cardiology referrals

The nation’s largest radiology practice is introducing an AI-based service that can warn women of looming cardiovascular risk whenever they receive a routine screening mammogram.

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RSNA readying ‘launchpad’ to help innovators take flight with fresh ideas

Ventures will serve as a hub for academic institutions, developers and industry leaders looking to drive meaningful innovation in radiology. 

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Google's Gemini answers patients' IR questions with greater accuracy, more empathy than providers

Some of today’s large language models may be more effective communicators than providers when it comes to explaining interventional radiology procedures. 

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FDA seeks feedback on regulating AI-enabled medical devices

The U.S. Food and Drug Administration highlighted concerns about "data drift," which can potentially lead to performance degradation, bias or reduced reliability. 

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Healthcare AI today: FDA seeking insider know-how, AI ogling insurance claims, deepfake doctors making rounds, more

Just because the FDA has approved an AI-equipped medical device doesn’t mean the agency knows how the techno-apparatus will perform in the real world.