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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ChatGPT excels at differential diagnostics in hard cases

Today’s generative AI—namely ChatGPT-4—is pretty darned good at parsing out probable diseases in difficult-to-diagnose patient cases.

artificial intelligence hospital patients

Implementing point-of-care AI? 5 firm facts to keep in mind

If healthcare AI is to flourish outside of academic research settings and industry R&D departments, it will need to win over its most difficult-to-impress audience: healthcare workers in hospitals.

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American Medical Association to advise on the use of AI in medicine

The goal is to inform users on how to best utilize AI tools while also practicing caution, as many are still in their early stages of deployment and can pose risks. 

mental health talk therapy large language AI ChatGPT

AI in mental healthcare: 5 questions & answers

It stands to reason that the branch of healthcare most reliant on the use of language in clinical practice would embrace large language AI. But is U.S. mental healthcare on board with the notion?

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Clinics tap GPT-4 to ease charting burden, improve patient care

The hope is that the GPT-4-based notes assistant will ease the burden of manual charting on physicians while also offering patients more personalized visit summaries, Carbon Health announced June 5. 

Medical student artificial intelligence training

Medical educators encouraged to equip physicians-to-be with 4 AI competencies

Researchers at the University of Illinois Chicago have developed an elective course that can quickly transform fourth-year medical students from functional AI novices to budding AI experts.

USA China artificial intelligence race

China’s AI concerns presented for public consumption

Tech-enabled risks are top of mind for the head of the Chinese Communist Party—and AI is prominent among these.

Center for AI Safety extinction statement

Tech thought leaders issue terse warning on humanity’s ‘risk of extinction’ at the hands of AI

Several hundred AI experts, stakeholders and commentators are alerting the world to the technology’s potential for widespread harm. 

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Around the web

Cardiovascular Business
Payment cuts and beyond: Key takeaways for cardiologists from the 2025 Medicare Physician Fee Schedule

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

AI in Healthcare
A modest proposal to rally AI regulators around a simple game plan

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”

Cardiovascular Business
FDA commissioner urges clinicians to join fight against medical misinformation

FDA Commissioner Robert Califf, MD, said the clinical community needs to combat health misinformation at a grassroots level. He warned that patients are immersed in a "sea of misinformation without a compass."

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