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. 

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artificial intelligence in healthcare

FDA official: Let’s work together to make healthcare AI work for everyone

AI won’t fulfill its promise to transform American medicine if it isn’t appropriately integrated, step by step, across U.S. healthcare.

Peter Monteleone, MD, an interventional cardiologist, national director of cardiovascular research at Ascension Health, and assistant professor, UT Austin Dell School of Medicine, explained the use of artificial intelligence (AI) to independently identify an emergency stroke or pulmonary embolism (PE) finding on a CT scan and automatically alert critical care team members. His health system uses this type of AI for earlier activation of the pulmonary embolism response team (PERT).

AI critical care software revolutionizes emergency response

Ascension Health in Texas uses AI that can read CT scans for stroke and pulmonary embolism to activate care teams before the images even get into the PACS.

Strategic Radiology and Qure.ai

Strategic Radiology signs on with Qure.ai

A coalition of independent imaging practices is partnering with a radiology AI startup specialized in automated interpretation algorithms.

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.

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. 

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