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. 

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.

breast cancer mammography mammogram

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. 

AI healthcare doctor surgery procedure artificial intelligence

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. 

lung cancer screening low-dose CT

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.

Artificial intelligence sign in the United Imaging booth. The Chinese company wants to break into the U.S. market and has a massive booth footprint at RSNA 2023. This included a section for its own AI development division. Photo by Dave Fornell #RSNA

AI briefing: Hyped AI goes to the hospital | Is healthcare AI sustainable? | US & Israel power up AI partnership | more

Just because a healthcare AI product gets loudly promoted doesn’t mean its claims are bogus. The salient question is whether or not it performs as well in a clinical setting as it did in a research lab—or in a marketer’s mind. 

The U.S. Food and Drug Administration (FDA) has cleared HeartLung Corporation's AI-CVD, an artificial intelligence (AI) algorithm that looks at 11 different opportunistic health screening assessments on chest CT exams ordered for any reason.

FDA clears opportunistic AI for detecting cardiothoracic issues in CT scans

“Coronary calcium revealed long ago that atherosclerosis begins well before symptoms. AI-CVD extends that insight by enabling systematic identification of patients who are unaware of their cardiovascular risk using CT scans that already exist,” said Arthur Agatston, MD.