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.

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AI triage system fails to improve radiologist performance or turnaround times

Commercially available software for intracranial hemorrhage detection did not appear to hold up in a prospective, single-center study, experts write in the American Journal of Roentgenology.

Viz.ai partners with Cleerly in the name of AI-based CCTA evaluations

The new partnership is focused on getting advanced AI algorithms into the hands of cardiologists.

Industry Watcher’s Digest

An HHS agency is developing ways to keep aging AI-enabled medical devices up to snuff for the long haul.

Samsung finalizes $92M acquisition of French ultrasound AI firm Sonio

Founded in 2020, the acquired firm offers products to aid physicians in assessing and documenting OB/GYN scans, such as prenatal ultrasounds.

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.

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.

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.

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