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.

Lawsuit over theft of UnitedHealth’s trade secrets settled out of court

UnitedHealth alleged its proprietary technology was used to create Lore Health, a generative AI chatbot. The case was dismissed after arbitration.

The ASNC team at the 2024 AMA meeting, Georgia Lawrence, JD, ASNC director of regulatory affairs; Suman Tandon, MD, FASNC, delegate to the AMA HOD and cardiac imager at NYU Langone; and Kathy Flood, ASNC CEO. #AMA #AMA24 #AMA2024 #AMAHOD #ASNC

ASNC supports AMA effort to limit use of AI in prior authorization decisions

The American Society of Nuclear Cardiology (ASNC) supports an AMA policy that condemns the use AI to make prior authorization decisions rather than a doctor or clinician.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

How to attain and sustain transparency in medical devices outfitted with AI

AI transparency in medical devices is achievable and imperative, according to new guidance jointly promoted by the FDA, Health Canada and the U.K.’s Medicines and Healthcare products Regulatory Agency.

artificial intelligence AI deep learning ChatGPT OpenAI Microsoft Google

American College of Radiology asks CMS to create new alternative payment pathway for high-value AI

ACR’s June comments come in response to the 2025 Hospital Inpatient Prospective Payment System rule released by CMS in April.

Imaging study reveals 'significant deformities' in lungs of some COVID patients

These changes could have long-lasting implications for lung function, authors of the new study warn.

The central illustration from a study that shows the impact of ECG AI algorithm study case and control selection to train artificial intelligence to better screening patients for cardiac amyloidosis. Image courtesy of JACC Advances.

Using ECG AI to find the cardiac amyloidosis needles in the haystack

Early detection of cardiac amyloidosis is leads to the best outcomes, but it is often missed until later stages. AI is being developed to help detect these patients earlier using ECG and echo.

artificial intelligence AI in healthcare

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