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. 

Cardiologist Ami B. Bhatt, MD, a digital health specialist and longtime member of the American College of Cardiology (ACC), will serve as the Digital Health Advisory Committee's very first chair.

Cardiologist to chair new FDA advisory committee focused on AI, other digital health technologies

The Digital Health Advisory Committee is tasked with providing perspective and recommendations on a wide variety of topics. These insights will then help the FDA draft new policies and make other important decisions.

American College of Radiology (ACR) CEO Dana H. Smetherman, MD, MPH, MBA, FACR, explains why opportunistic screening is an important AI imaging technology trend radiology practices should be paying attention.

AI opportunistic screening may have tremendous potential to help patients, ACR CEO says

American College of Radiology leader Dana Smetherman, MD, MBA, discusses the new technology trend and why radiologists should be paying attention. 

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AI model matches radiologists at detecting prostate cancer on MRIs

“Reducing the cost and increasing the accessibility of MRI for [clinically significant prostate cancer] is critical for the viability of MRI screening programs," experts wrote. 

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Radiology AI triage solution earns separate, additional Medicare hospital payment

The Centers for Medicare & Medicaid Services revealed the news under the 2025 Inpatient Prospective Payment System rule released on Aug. 1

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Generative AI explains echo results to heart patients

Researchers used OpenAI’s ChatGPT technology to build 100 patient-friendly echo reports, evaluating each one for accuracy, relevance and understandability. The AI reports passed the test with flying colors. 

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Automated CT-derived markers identify those at higher risk of developing diabetes and other conditions

These measures could be utilized as an opportunistic screening tool in individuals who undergo routine health screenings.

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Industry Watcher’s Digest

Buzzworthy developments of the past few days. Here’s where quantum computing and AI meet biomedical research and patient care ... 

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Healthcare gets a quick checkup for signs of gen AI metabolization

It’s easy to forget that generative AI launched into the economy—and the public imagination—less than two years ago. How could it be otherwise?