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. 

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The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

FDA clears AI platform for planning ahead of TAVR, other heart procedures

The cloud-based platform identifies and measures cardiac structures in CT scans.

robot reviewing heart data

Viz.ai partners with Cleerly in the name of AI-based CCTA evaluations

The new partnership is focused on getting advanced AI algorithms into the hands of cardiologists.

ESC Congress 2023 in Amsterdam

AI for TAVR, robot-guided echo and more: Key research at ESC Congress 2024

ESC's annual meeting is always one of the world's largest gatherings of cardiologists and other cardiology professionals. This year's 4-day event will be no different. 

Brittany Nicole Weber, MD, Brigham and Women's Hospital, explains the use of opportunistic CT screening for cardiovascular disease on noncardiac exams.

Opportunistic screening with AI could be a game-changer for preventive cardiology

Brittany Nicole Weber, MD, PhD, detailed new research into the benefits of screening for cardiovascular disease in CT scans not specifically ordered for that purpose. The rise of AI has helped make opportunistic screening a huge trend in both cardiology and radiology. 

Researchers have found that an unexpected combination—artificial intelligence (AI) and a 3D body scanner—can evaluate a person’s metabolic health and identify significant risks of cardiovascular disease, diabetes and other adverse outcomes. In fact, the technique may prove to be more accurate than knowing a person’s body mass index (BMI) or waist-to-hip ratio.

Better than BMI? 3D body scanner uses AI to measure metabolic health

Mayo Clinic specialists have developed a new way to identify risks of cardiovascular disease, diabetes and other adverse outcomes.

AISAP, an Israeli healthcare technology company focused on using artificial intelligence (AI) to enhance medical imaging results, has gained U.S. Food and Drug Administration (FDA) clearance for its new point-of-care ultrasound (POCUS) software platform, AISAP Cardio.

FDA clears AI-powered POCUS platform for structural heart disease, heart failure

The cloud-based platform was designed to help even inexperienced users scan and diagnose a majority of common heart issues within minutes without leaving the patient’s side.

AI cardiology heart artificial intelligence deep learning

FDA approves new AI-powered imaging software from Nanox subsidiary

According to Nanox.AI, previously known as Zebra Medical Vision, the updated software helps "bridge the divide between radiology and cardiology."

Siemens Healthineers has gained U.S. Food and Drug Administration (FDA) clearance for Acuson Origin, its new cardiovascular ultrasound system featuring advanced artificial intelligence (AI) capabilities. The Acuson Origin represents a significant update from the prior Siemens Healthineers cardiovascular ultrasound system, the Acuson SC2000.

Siemens Healthineers gains FDA clearance for new AI-powered cardiovascular ultrasound system

The Acuson Origin system includes advanced AI algorithms designed to assist users with the treatment of diagnostic, structural heart, vascular, electrophysiological and pediatric patients. It also comes packaged with a new 4D ICE catheter capable of multiplanar reconstruction imaging with or without the use of an electrocardiogram.

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Around the web

Health Imaging
Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Health Imaging
New imaging protocols proposed to curb rise of cardiovascular infections

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.