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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Medical staff must have a say in what AI is adopted for patient care, says AMA

The American Medical Association adopted a policy calling for medical staff to be involved in decisions about adopting AI that may impact patient care.

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.

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

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.

healthcare AI venture capital investments

US healthcare is flush with venture investments in AI: Silicon Valley Bank report

The past five years have been boom times for AI startups courting venture investors in healthcare, and the good times just keep rolling.

artificial intelligence in healthcare

5 views on AI in healthcare from the American College of Physicians

Medical professionals using AI in clinical decision-making should limit the technology’s reach to a supportive role, says the ACP.

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Around the web

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Cardiology groups cheer new bill that would improve access to Medicare claims data

If passed, this bill would help clinician-led clinical registries explore Medicare data for research purposes. The Society of Thoracic Surgeons and American College of Cardiology both shared public support for the bipartisan legislation. 

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Watchdog group, fearful of fraud, wants more oversight for remote patient monitoring

Cardiologists and other physicians may soon need to provide much more information when ordering remote patient monitoring for Medicare patients.

Cardiovascular Business
Most recalled cardiovascular devices gained FDA approval with little to no clinical evidence

Why are so many cardiovascular devices involved in Class I recalls? One possible reason could be the large number of devices hitting the market without undergoing much premarket clinical testing. 

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