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. 

hospital patient in distress crying

Replaceable doctors, online-only doctors, Dr. Thomas Keane & more healthcare AI news in brief

Medical misdiagnoses account for almost 800,000 deaths and other serious harms every year. Meanwhile healthcare AI is roundly celebrated for its diagnostic prowess. Can’t it help cut out a couple hundred thousand of those horrible mistakes?

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HHS seeks input on how reimbursement, regulation could bolster use of healthcare AI

The key agency released a request for information on Dec. 19, asking for broad input on how it can accelerate the adoption of AI in clinical care. 

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AI reduces readers' kidney lesion interpretation times by over 30%

The tool also can be used on contrasted abdominal scans completed for other clinical indications, addressing suspicious lesions before they worsen.  

Kimberly Powell, vice president, general manager of healthcare at NVIDIA, explains how artificial intelligence (AI) has rapidly expanded in radiology and how many of the companies showing AI products at the Radiological Society of North America (RSNA) 2025 meeting use the company's technology. She said a few key technology launches by GE Healthcare show a deeper integration of NVIDIA's AI technology, and shared what the next generation of "physical AI" will enable autonomous radiology exams.

Nvidia sees major shift in radiology to AI agents and new autonomous imaging systems

“Physical AI agents being able to actually deliver some of these services—all the way into robotic surgery—this is where we're going to see this next chapter of medicine be written,” said Kimberly Powell, vice president and general manager of healthcare at Nvidia.
 

HeartFlow Plaque Analysis

Cardiology’s biggest trend: New scientific statements take on AI-powered coronary plaque evaluations

The ACC and AHA both issued new statements on noninvasive CCTA offerings that use advanced AI to evaluate patients with suspected CAD. These technologies have gained significant momentum in recent years, and experts agree that they represent a game-changing advancement in the world of cardiovascular imaging.

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Immersing new docs in all things AI | Forecasting without hyping healthcare AI | And more AI doings of note

Peak AI hype seems to have passed. Sobered by reality, formerly breathless futurists can now get a fair hearing when they calmly state the technology really will transform medicine. 

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AI flags hard-to-detect heart disease in seconds

The new deep learning algorithm is capable of detecting signs of coronary microvascular dysfunction in seconds.

Eric Rubin, MD, vice president of clinical operations at Virtua Health, and the American College of Radiology's CPT advisor to the American Medical Association (AMA), explains the process for creating a Category I CPT code for payments and the difference with Category III temporary tracking codes.

Radiology dominates FDA-cleared AI, but reimbursement lags far behind

As of January 2026, there will only be two CPT category 1 payment codes for newer AI, despite there being hundreds of FDA-cleared medical imaging algorithms.