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. 

Generative AI hospital comparison shopping

Generative AI isn’t changing everything for patients and providers—but it’s not leaving much unaffected, either

Generative AI is altering the way healthcare consumers size up hospitals, group practices and individual providers. But the comparison shopping would pose a challenge to healthcare organizations even if AI hadn’t entered the picture. 

artificial intelligence AI large language model antibiotics

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. 

AI artificial intelligence stethoscope doctor

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. 

artificial intelligence AI in healthcare

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.

artificial intelligence AI healthcare FUTURE-AI consortium

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? 

artificial intelligence consultation

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.

healthcare executives

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. 

Around the web

“Now more than ever, we must recognize that our country’s leadership in groundbreaking medical research spurs scientific innovation, improves public health and creates new innovations that save and improve lives nationwide,” Joseph C. Wu, MD, PhD, explained in a statement. 

The technology used to diagnose, treat and manage cardiovascular disease is always evolving, keeping FDA officials quite busy. But have the agency's standards been slipping in recent years? A cardiologist with Cedars-Sinai Medical Center explored that very question.

No devices need to be returned at this time. However, the FDA warned, using these heart pumps without reviewing the updated instructions could result in "serious injury or death.”