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-directed scan protocols cut back on unnecessary MRI sequences
Artificial intelligence could serve as an effective tool for determining which patients may need additional breast MRI sequences mid-protocol.
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.

artificial intelligence AI heart cardiology

FDA clears new AI algorithm for 1-year AFib risk

The new algorithm from Tempus AI evaluates 12-lead ECG results, alerting users when a patient could be at risk of experiencing AFib within the next 12 months.

AliveCor, a California-based healthcare company focused on developing on-the-go electrocardiography (ECG) devices, has gained U.S. Food and Drug Administration (FDA) clearance for its KAI 12L artificial intelligence (AI) technology and the new handheld Kardia 12L ECG System.

Dual approvals: AliveCor gains FDA clearance for advanced AI model, handheld ECG system

One of the company's new approvals was for a pocket-sized ECG system designed to be less invasive and easier to use than other devices on the market.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Coalition for Health AI publishes stakeholder guide, proposes 6-stage AI lifecycle

Those who have been thinking healthcare could use a detailed framework on the responsible use of healthcare AI just got their wish.

Deep learning application spots acute ischemic stroke in less than 30 seconds on MRI

What’s more, the application’s performance was accurate, even when fewer scanning sequences were utilized.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Healthcare leaders worldwide counting on AI to close ‘critical gaps’ in patient care

A full 85% of 2,800 surveyed across 14 countries say they’re investing in the technology now or planning to do so within three years.

Supplemental AI education during residency linked to key benefits

Despite this, there is still no standardized AI curriculum for emerging radiologists.

Artificial Intelligence

AI-directed scan protocols cut back on unnecessary MRI sequences

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