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. 

AI governance meeting

Good AI governance can spell the difference between smashing success and mere learning experience

Discussions of AI governance may cause many an eye to glass over, but the discipline is as crucial to the ascent of AI in healthcare as big training datasets drawn from diverse patient populations.

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

5 of 7 Medicare Administrative Contractors approve payment for imaging AI software

Providers have the potential to earn a Medicare payment of $950 if the software is deployed in medically appropriate scenarios.  

Man vs. Machine artificial intelligence AI

Radiology resident thumbs nose at Nobel Prize winner who predicted specialty would become obsolete

“Godfather of AI," Geoffrey Hinton, forecasted in 2016 that advances in AI would take over radiologists’ duties within five years. Eight years later, the prediction has proven false. 

New data highlight long-term benefits of HeartFlow’s AI-based CAD evaluations

HeartFlow kicked off TCT 2024 by sharing new research on the long-term impact of its FFRCT Analysis and Plaque Analysis software.

robot reviewing heart data

Medicare coverage expands again for AI-enabled coronary plaque assessments

Another MAC has agreed to cover the use of these advanced technologies to evaluate patients for signs of coronary artery disease. 

artificial intelligence AI in healthcare

Industry Watcher’s Digest

Payers are still running ahead of providers in the AI arms race. 

Peter Kecskemethy PhD CEO co-founder Kheiron Medical

RadNet subsidiary DeepHealth acquires another artificial intelligence firm

The outpatient imaging center operator is adding Kheiron Medical Technologies, which uses deep learning to help radiologists detect breast cancer. 

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AI-based software improves follow-up imaging adherence by 74%

The increased follow-up of recommended imaging exams combined with the efficiency of its use also generated an additional $9,000 in revenue per month at one organization.