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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Toku's AI-powered CLAiR technology

FDA grants breakthrough device designation to AI-powered, retinal imaging-based CVD assessments

CLAiR offers physicians another way to evaluate a patient’s cardiovascular health: non-invasive retinal images captured during routine eye exams.

artificial intelligence robot evaluates healthcare data

AI detects signs of AFib in asymptomatic patients

The study included ECG data from more than 900,000 U.S. veterans.

Allia IGS Pulse, GE Healthcare's updated image-guided system for cardiac imaging, gained FDA clearance

FDA clears GE Healthcare’s new image-guided system for heart patients of all sizes

GE Healthcare's newest cardiac angiography offering will be on display at TCT 2023 in San Francisco. 

AI artificial intelligence stethoscope doctor

AI model detects multiple heart issues in a single 10-second audio clip

The advanced algorithm achieved a sensitivity of 93% and specificity of 98%. It was trained to identify up to five different valvular diseases at the same time from a single audio clip.

Artificial intelligence (AI) is being developed to help make cardiovascular clinical trials more efficient, lead to faster advances in patient care, and bring possible new treatments to heart patients more quickly. The major cardiac research center of Icahn School of Medicine at Mount Sinai announced today that it signed a memorandum of understanding with the Chiba Institute of Technology (CIT) to collaborate on using AI to enhance cardiovascular disease research.

Mount Sinai partners with the Chiba Institute of Technology on AI to transform cardiovascular research 

Agreement aims to use AI to help make cardiology clinical trials more efficient and lead to faster advances in patient care. 

AI artificial intelligence stethoscope doctor

FDA clears AI model for detecting signs of heart failure in ECGs

The advanced AI model, developed by Anumana with help from Mayo Clinic, could provide value as a screening tool for heart failure.

Newsweek ranked the 50 best heart hospitals in the world

Cardiologists to celebrate World Heart Day with CCTA webinar

The free webinar, scheduled for Sept. 29, will examine the benefits of using CCTA and FFR-CT to manage chest pain patients. 

artificial intelligence robot evaluates healthcare data

Novo Nordisk spends $60M on advanced AI in search of new cardiovascular medications

Novo Nordisk is working with Valo Health to identify potential new treatments for cardiometabolic conditions. If it proves to be a fruitful collaboration, the initial payment of $60 million will be just the beginning. 

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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.