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. 

Example of AI automated detection and highlighting of critical lung findings on a chest X-ray for a possible lung cancer nodule and fibrosis. Example shown by AI vendor Lunit.

PHOTO GALLERY: Examples of FDA-cleared AI in radiology

This is a photo gallery of artificial intelligence products cleared for clinical use in medical imaging by the U.S. Food and Drug Administration. Radiology by far is the leader of all clinical AI FDA approvals.

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. 

Artificial intelligence AI

Industry Watcher’s Digest

Buzzworthy: Mayo Clinic has more than 200 algorithms under development.

How can the world’s AI stakeholders work together toward the common goal of international scientific agreement on AI’s risks?

International experts formulate scientific approach to AI risk management

A lot of people from a lot of organizations in a lot of countries are working to coordinate oversight of AI’s risks. A budding project seeks to bring many of these minds together to advance the worthy goal of building global consensus with scientific rigor.

AI spots 25% of interval breast cancers missed by radiologists

What’s more, the algorithm can correctly localize three out of four of the interval cancers it detects.

 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. 

artificial intelligence AI money brain dollar

Johns Hopkins, CareFirst partner with venture capital for ‘AI accelerator’ program

The 13-week course will be held in Baltimore sometime in March 2025. Healthcare AI startups have until Nov. 20 to apply.

AI artificial intelligence Google DeepMind

Industry Watcher’s Digest

The Department of Energy is concerned about AI’s mammoth appetite for, well, energy.