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 delivers real-time blood clot monitoring, helping cardiologists make treatment decisions
Researchers have used a state-of-the-art microscope and advanced AI to track clotting risks in CAD patients. The goal is to spot blood clots before they even happen, ensuring patients are prescribed the right therapy for their specific needs.
FDA gives AI-powered blood test for obstructive CAD breakthrough device designation
The FDA clearly sees significant potential in a new multi-protein blood test from Prevencio. The company's goal is to gain full approval and get the test in the hands of emergency departments all over the United States.
AI-enabled CCTA evaluations reduce use of invasive imaging exams
This two-year analysis of the FISH&CHIPS study found that using advanced AI from Heartflow to evaluate cardiac CT is safe, effective and limits the use of unnecessary follow-up tests.
AI predicts LBBB risk in TAVR patients prior to treatment
The authors tested out a variety of machine learning techniques, including large language models and more traditional algorithms. They focused on data that can be gathered prior to treatment, ensuring cardiologists know as much as possible before the procedure.
Nonprofit group helps doctors and startups bring new cardiovascular tech to market
Nabil Dib, MD, founder of the International Society for Cardiovascular Translational Research, details resources to help doctors and startups navigate the shift from conducting research to commercializing new products and applications.

AI delivers real-time blood clot monitoring, helping cardiologists make treatment decisions

Researchers have used a state-of-the-art microscope and advanced AI to track clotting risks in CAD patients. The goal is to spot blood clots before they even happen, ensuring patients are prescribed the right therapy for their specific needs.

FDA gives AI-powered blood test for obstructive CAD breakthrough device designation

The FDA clearly sees significant potential in a new multi-protein blood test from Prevencio. The company's goal is to gain full approval and get the test in the hands of emergency departments all over the United States.

AI-enabled CCTA evaluations reduce use of invasive imaging exams

This two-year analysis of the FISH&CHIPS study found that using advanced AI from Heartflow to evaluate cardiac CT is safe, effective and limits the use of unnecessary follow-up tests.

AI predicts LBBB risk in TAVR patients prior to treatment

The authors tested out a variety of machine learning techniques, including large language models and more traditional algorithms. They focused on data that can be gathered prior to treatment, ensuring cardiologists know as much as possible before the procedure.

Nabil Dib, MD, director clinical and translational research, Dignity Health, and founder of the non-profit International Society for Cardiovascular Translational Research (ISCTR), explains resources ISCTR has to help doctors and start ups navigate regulatory pathways to expedite moving from research to clinical application.

Nonprofit group helps doctors and startups bring new cardiovascular tech to market

Nabil Dib, MD, founder of the International Society for Cardiovascular Translational Research, details resources to help doctors and startups navigate the shift from conducting research to commercializing new products and applications.

Jewel Patch Wearable Cardioverter Defibrillator from Element Science

FDA approves new AI-enabled wearable cardioverter defibrillator

The newly approved device can be worn for up to a week at a time, with no daily maintenance required, and includes advanced AI algorithms that minimize the risk of false alarms or inappropriate shocks.

Partho Sengupta, MD, DM, FACC, FASE, Henry Rutgers Professor of Cardiology and Chief of Cardiovascular Medicine, at Robert Wood Johnson Medical School, and Chief of the Cardiovascular Service Line at Robert Wood Johnson University Hospital, offers an overview of the current state of artificial intelligence (AI) in cardiology. He offers insights from what he has seen from some of the more than 160 FDA-cleared algorithms specific to cardiovascular medicine and what is in development.

Exploring the evolution of AI in cardiology

Partho Sengupta, MD, shared his perspective on the current state of artificial intelligence in cardiology. The technology continues to evolve, he said, though it does still face certain limitations.

AI healthcare doctor surgery procedure artificial intelligence

AI helps cardiologists terminate AFib for good with ablation

Advanced AI can provide real-time feedback to cardiologists, helping them deliver high-quality care.

Around the web

Health Imaging

Tariffs will have a significant impact on the nuclear imaging supply chain in the US

"Domestic radiopharmaceutical suppliers, who receive isotopes from abroad, would be impacted by price changes and uncertainty caused by additional tariffs,” SNMMI President Cathy Cutler, PhD, wrote in a letter to the U.S. Department of Commerce this week.

Radiology Business

U.S. iodine contrast supply may not be subject to proposed 25% tariffs

If President Trump initiates a 25% tariff against pharmaceuticals imported from Ireland, it might impact the price for X-ray iodine contrast agents in the U.S. depending what rules are put in place.