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. 

Heartflow Plaque Analysis

How to stay ahead of the changing CCTA reimbursement landscape

It is critical for organizations to have a firm understanding of the CMS 2026 Final Rule to bolster reimbursement, plan service lines and ensure continued access to CCTA, FFR-CT and AI-enabled plaque analysis. 

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AI roundup: Your doctor’s choice for clinical AI | Amazon, Walmart & ecosystem AI | 2026’s top healthcare technology hazard

Can you guess the (lightly disputed) champion of healthcare AI suppliers? Here’s a hint. This company caters to physicians and just this week reached a valuation of $12B. 

artificial intelligence AI predictive analytics

FDA clears first-of-its-kind comprehensive AI triage solution from Aidoc

The solution combines 11 newly cleared indications and three previously cleared indications into a single workflow.

Andriy Vengrenyuk, MS, senior data analyst for interventional cardiology at the Icahn School of Medicine at Mount Sinai, explains a pilot program where artificial intelligence (AI) virtual agents call patients prior to their cath lab procedures to save nursing staff time doing administrative tasks.

AI agent calling cath lab patients to help them prepare for treatment

Mount Sinai Hospital in New York is now using AI-powered virtual agents to call some patients before cath lab procedures. The move was designed to help nurses focus more on patient care and reduce their risk of burnout.

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Survey data underscore need for tailored AI strategies in different healthcare settings

Researchers with UT Southwestern Medical Center recently surveyed over 900 women about how they view the technology's deployment in screening. 

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Healthcare executives push for federal AI policy framework that preempts state laws

The Healthcare Leadership Council—a forum for C-suite leaders across different industries—recently released the results of a new survey of its members.

fork in the road

AI roundup: Platform vs. patchwork | The new workplace imbalance | Good-enough healthcare AI | more

2026 may be the year that many if not most healthcare leaders arrive at a fork in the road to mature AI implementation. 

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Microsoft and Bristol Myers Squibb partner to advance AI-enabled lung cancer detection

Lung cancer remains the leading cause of cancer-related deaths in the United States. It is estimated that it claims approximately 125,000 lives in the U.S. every year.