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. 

PHOTO GALLERY: Highlights from ACC.24 in Atlanta

ACC.24, the American College of Cardiology's annual meeting in Atlanta, featured the latest in cardiovascular research and technologies. Representatives from Cardiovascular Business were there in person to take in the excitement. 

First-in-human trial shows potential of guiding CABG with cardiac CT and AI—no ICA required

An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFRCT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data. 

GE Healthcare has announced the upcoming launch of new artificial intelligence (AI) software compatible with the company’s Vscan Air SL handheld ultrasound system.

GE Healthcare launching new AI software for handheld ultrasound system

The company's new AI offering, a product of its 2023 acquisition of Caption Health, will make its debut at ACC.24 in Atlanta.

Eko Health, the California-based healthcare technology company known for its advanced stethoscopes, has received U.S. Food and Drug Administration (FDA) approval for a new artificial intelligence (AI) offering designed to detect low ejection fraction (EF).

FDA approves new AI model for detecting signs of heart failure with a stethoscope

Eko Health worked closely with Mayo Clinic to develop and evaluate its latest AI offering. “Importantly, since a stethoscope is small and portable, this technology can be used in urban and remote locations," one clinician said. 

artificial intelligence AI heart cardiology

Cardiologists see value in AI-based plaque assessments

Cardiologists were asked to develop a care strategy for CAD patients before and after using an FDA-approved AI tool to evaluate CT results. In two out of three cases, the AI influenced cardiologists to modify their original plan. 

artificial intelligence robot evaluates healthcare data

New data registry will track how AI-powered plaque assessments impact cardiologist decisions

HeartFlow hopes to gather real-world data from up to 10,000 patients with suspected CAD.

Avicenna.AI, a French artificial intelligence (AI) startup co-founded by a radiologist, has received U.S. Food and Drug Administration (FDA) clearance for two new offerings designed to automatically identify cardiovascular findings in CT scans, CINA-iPE and CINA-ASPECTS.

Radiology AI company gains FDA clearance for new CT offerings focused on PE, stroke

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

HeartFlow FFR-CT is a non-invasive imaging method to determine the fractional flow reserve for the entire coronary tree.

AI-based CAD assessments as accurate as FFR, new 10-year study confirms

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

Around the web

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

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