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. 

Thumbnail

Segmed, a startup that gathers medical imaging data for AI development, raises $10M

Toronto venture capital firm iGan Partners and 67-hospital Advocate Health led the Series A financing round with participation from other investors. 

Healthcare CIO on the job

Today’s healthcare CIO: Enterprise strategist or technology tactician?

A new survey shows that, in the generative AI era, two of every three U.S. hospitals let the CIO’s office handle the selection and acquisition of data analytics platforms.

Video interview with ACR CEO Dana Smetherman, MD, who explains how the American College of Radiology can help radiology practices evaluate and vet AI.

ACR offers resources to achieve radiology AI best practices

Dana Smetherman, MD, CEO of the American College of Radiology, explains resources available through its Data Science Institute to evaluate and validate the quality of imaging algorithms.

Enlitic

Radiology data sharing vendor Enlitic to acquire rival for $5M

The Fort Collins, Colorado, company is purchasing all shares of Laitek Inc., a major provider of medical imaging data migration and routing services in the U.S. 

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.