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. 

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 Is that stance outdated?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. 

medical students AI digital health

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. 

robot reviewing heart data

More than words: AI takes NLP to the next level to identify signs of heart failure

Previous NLP algorithms for heart failure looked for certain words or phrases, but this updated model makes decisions based on clinical context. 

Nina Kottler, MD, Radiology Partners, offers overview of the U.S. AI regulatory landscape as government and radiologists work on ways to ensure artificial intelligence is not bias and works properly.

Overview of the regulatory landscape of AI in radiology

Nina Kottler, MD, associate CMO for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need to test for bias. 

hexarad radiologist physician teleradiology

Despite AI, burnout continues to dog radiologists

Wasn’t radiology the fastest medical specialty to embrace and adopt AI? And yet burnout continues to afflict many if not most radiologists. 

Around the web

U.S. cardiology groups have worked together to propose the creation of a new American Board of Cardiovascular Medicine for certifying cardiologists. Now, after many months of waiting, a final decision is expected by the end of February. 

GE HealthCare said the price of iodine contrast increased by more than 200% between 2017 to 2023. Will new Chinese tariffs drive costs even higher?

American College of Cardiology President Cathie Biga, MSN, says Medicare payment reform remains a top priority going forward. Site-neutral payments and improved access to PAD screening are two other issues close to the ACC's heart.