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.

AI newswatch: Nurses want in, transcriptionists on the way out, blockchain going up, more
If doctors are the heart of the hospital, nurses are surely the soul. And if that’s so, today’s AI has to be something like a nutritional supplement for the brains of the operation.
Real-world use of generative AI boosts radiologist productivity by up to 40%
“For me and my colleagues, it’s not an exaggeration to say that it doubled our efficiency," says radiologist Samir F. Abboud, MD, chief of emergency radiology at Northwestern.
Research review: Patients have understandably mixed feelings about AI in healthcare
A new review of the relevant scientific literature suggests many if not most patients are aware that healthcare AI’s emerging benefits exist side-by-side with its persistent uncertainties.
AI detects twice as many incidental lesions as radiologists
Prior research has suggested that these incidental lesions turn out to be cancerous in up to 70% of cases, making their timely detection critical.
A closer look at GE HealthCare's new lower-cost cardiac CT scanner
As cardiac CT continues to get used more and more, GE HealthCare has launched a new scanner designed to meet the needs of both outpatient imaging centers and larger hospitals.

ai in healthcare industry watchers blog digest

Industry Watcher’s Digest

Public interest is piqued over AI-aided cancer detection.

ai in healthcare bessemer venture partners

3 things AI startups, investors must know to clear hurdles in healthcare technology markets

As 2024 winds down and the number of FDA-approved medical devices packing AI approaches 1,000—the agency had the tally at 950 as of August—the industry finds itself at a “critical inflection point.”

American College of Radiology partners with FDA to hasten availability of AI products

The administration is seeking greater communication between the manufacturers of breakthrough devices and physician professional societies such as the ACR.

Industry Watcher’s Digest

Deep fakes are more dangerous to healthcare than we may have thought.

4 ways to help nurses make friends with algorithms

Nurses tend to feel optimistic if not exactly excited about AI’s advances into their profession. Those who hold back tend to share a common concern—sacrificing care quality for the sake of tech-enabled efficiency.

AI accurately predicts breast cancer years before diagnosis

This information could help providers personalize breast cancer screening strategies and initiate treatment earlier.

GE HealthCare completes $53M acquisition of AI ultrasound business

Based in Cardiff, Wales, seller Intelligent Ultrasound specializes in integrated, AI-driven tools to make scans “smarter and more efficient.”

Industry Watcher’s Digest

AI didn’t displace the nearly 3,000 people who just lost their jobs at CVS.

Artificial Intelligence

AI newswatch: Nurses want in, transcriptionists on the way out, blockchain going up, more

Real-world use of generative AI boosts radiologist productivity by up to 40%

Research review: Patients have understandably mixed feelings about AI in healthcare

AI detects twice as many incidental lesions as radiologists

A closer look at GE HealthCare's new lower-cost cardiac CT scanner