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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Antibiotics prescriptions: There’s a large-language model for that

Add this to the list of high-risk healthcare activities to which generative AI can contribute: prescribing antibiotics. 

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LAAO or DOAC? Mayo Clinic AI helps guide treatment of AFib patients

It can be challenging to know which AFib patients are the best candidates for LAAO. A new algorithm out of Mayo Clinic aims to address that problem. 

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4 important AMA insights into physician thinking on, behavior with healthcare AI

Two in five practicing physicians are equal parts enthused over and worried about AI in healthcare. That’s the same ratio the American Medical Association turned up the last time it conducted its Physician Sentiment Survey.

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Global consortium: The future of AI in healthcare is dynamic—and demanding

An international cluster of 117 researchers from 50 countries has arrived at a consensus on six principles that, in the team’s considered view, ought to guide the use of AI across healthcare worldwide. 

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Gottlieb: Let’s not slap the label ‘medical device’ on AI software that only helps clinicians make care decisions

Standing FDA guidance reflects concern over physicians deferring to AI-aided CDS recommendations when pressed for time or uncertain of their own judgments. Is that stance outdated? 

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AI brings cardiology, neurology teams together to boost care for stroke patients

A new post-stroke care pathway from Viz.ai and Medtronic is associated with significant benefits, including higher patient and clinician satisfaction.

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Healthcare systems are proceeding apace with GenAI—and learning as they go

Last summer more than 40% of 121 hospital executives surveyed said their organization had already realized a decent ROI in generative AI. However, a C-suite slice of nearly the same size said it was too soon to know for sure. 

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To prepare tomorrow’s doctors for evidence-based medicine, instruct today’s med students in dHealth and AI

Medical students are broadly familiar with digital health technologies. Relatedly, they believe AI will play a crucial role in the future of healthcare. These are good signs for the advancement of evidence-based medicine. 

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