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.

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5 first steps toward do-it-yourself AI governance

A word to the wise among leaders of hospitals and health systems: Don’t wait on the government to tell you how to keep healthcare AI on track and healthcare providers up to speed.

AI-based coronary plaque assessments 1 step closer to Medicare coverage

According to a new proposal, using AI to evaluate CCTA results and quantify plaque buildup is “reasonable and medically necessary” in certain clinical scenarios.

Primary care docs lack trust in AI, making it unlikely they'll invest in applications, new survey says

Despite the opportunistic screening capabilities afforded by artificial intelligence applications, primary care providers are hesitant to embrace the technology.

The promise and potholes of computer vision as viewed from a radiological vantage point

Radiologists are known to miss comical oddities planted in medical images. In one study conducted in 2013, 83% of rads famously missed a man in a monkey suit waving hello from inside a lung scan.

Nearly two-thirds of consumers surveyed say they’d trust a diagnosis from AI over a human doctor

“This result indicates a significant shift in public perception and trust toward technology,” according to new survey data from consumer research firm Innerbody.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

artificial intelligence automation workforce

5 workforce and automation trends to reckon with in the early generative AI era

Weighing opportunities vs. challenges presented by AI and automation, business analysts have found Europe and the United States in pretty much the same boat.

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