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 implementation improves when radiology staff concerns are considered

Although the potential benefits of artificial intelligence are numerous, its implementation is not without headaches for healthcare staffers.

Qure.ai CEO and Co-founder Prashant Warier

Radiology vendor Qure.ai completes $65M Series D funding round

Founded in 2016, the vendor offers the "world’s most deployed healthcare AI," with its solutions in use across 3,000 care sites in 90 countries.

artificial intelligence AI deep learning

Most patients on board with radiology AI, though job loss, data privacy are top concerns

A researcher sought to measure public sentiment about artificial intelligence in medical imaging, analyzing over 1,000 posts on Reddit and X.

artificial intelligence AI in healthcare

Industry Watcher’s Digest

Primary care could use a break. AI might be able to supply it.

artificial intelligence AI in the C suite

It’s 2024. Does the C-suite know—or care—what workers are doing with generative AI?

In the rush to do something, anything with AI, are America’s business leaders playing fast and loose with the risks?

AI detects hypertension in voice recordings

A machine learning-powered smartphone app was trained to detect hundreds of biomarkers in the human voice, using even the tiniest detail to anticipate when patients may present with symptoms of hypertension.

Providing chatbots with guideline context significantly improves their imaging recs

With proper prompts and appropriate context, chatbots can play a valuable role in imaging referrals.

Radiologist outperforms AI solution at detecting fractures on X-rays

“Our results reinforce the assumption that AI must be monitored," researchers wrote in the journal Diagnostic and Interventional Imaging.

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