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.

FDA adds more than 120 new AI-enabled medical devices focused on radiology to list of approvals

The FDA has cleared over 150 artificial intelligence- or machine learning-enabled medical devices since the beginning of August.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Patient advocacy groups urge Congress to create pathway for CMS to cover AI in radiology

The FDA has OK'd nearly 900 AI-enabled medical devices, but CMS has only assigned payment for about 10 of them.

Almost 80% of knowledge workers bring their own GenAI to work

Around the world, 3 of 4 workers who routinely handle information are now using generative AI on the job. And almost half of them are new to the technology, having begun using it only over the past half-year.

artificial intelligence robot evaluates healthcare data

Medtronic adds new AI models to its insertable cardiac monitors

The new algorithms are automatically applied in the cloud; patients wearing the devices are not required to take any additional steps.

Radiographers are apprehensive about integrating AI into their workflow

Some believe it could make their jobs easier, while others perceive AI as a threat to their employment, new survey data suggest.

New low-field MRI small enough to plug into a standard wall outlet saves money without sacrificing safety

And with the help of deep learning techniques, it provides diagnostic quality imaging.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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