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. 

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.

artificial intelligence in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

artificial intelligence in healthcare

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.

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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.