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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Large language AI: It’s here. It’s soon to be everywhere. Get used to it.

ChatGPT and similar technologies coming down the medical pike have far to go before they’re reliable sources of accurate and appropriate health information. That doesn’t mean they’re non-factors now.  

Ultra-high-res MRI Reveals Migraine Brain Changes

Hackensack Meridian teams up with AI specialists for brain tumor care

The partnership is just the latest example of AI technologies being adopted in the healthcare space.

Emotional rescue: AI app interprets feelings of the nonverbal

A healthcare AI startup spawned from academia has launched an app to help caregivers understand the emotional state of individuals who are minimally verbal due to such conditions as autism, brain injury and dementia.

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AI in healthcare? Many patients seem unimpressed

60% of U.S. adults would be uncomfortable if their healthcare provider relied on AI for their medical care.

Researchers building ‘commonsense AI’ from baby’s mind up

The project may inform theories of human neurodevelopment as dynamically as it advances computer and data science.

A team of cardiologists from Cleveland Clinic and Stanford University recently tested ChatGPT, the popular artificial intelligence (AI) model, to see if it could accurately answer questions about preventive cardiology and cardiovascular disease. The model performed well, only missing a handful of questions, and the researchers concluded that ChatGPT showed considerable potential. Cleveland Clinic cardiologist Ashish Sarraju, MD, was the lead author of that study. #ChartGPT

ChatGPT and cardiology: A close look at the strengths and weaknesses of AI chatbots

Ashish Sarraju, MD, a cardiologist with Cleveland Clinic, discussed his recent research on ChatGPT, its potential to change patient care and more. 

The integration of artificial intelligence (AI) into radiology PACS and enterprise imaging systems has become a big topic of discussion with IT vendors over the past couple years. This has become a bigger question from hospitals and radiology groups as there are now about 400 radiology related AI algorithms that have U.S. Food and Drug Administration (FDA) clearance. Amy Thompson, a senior analyst at Signify Research, is monitoring AI trends in radiology and discusses trends.

Trends in the adoption and integration of AI into radiology workflows

Amy Thompson, a senior analyst at Signify Research, explains why AI adoption has been slow in radiology, common barriers and trends in the market.

Amy Thompson, a senior analyst at Signify Research, explains what she is seeing in the market for radiology PACS. She said the biggest overall, strategic technology trends are wider adoption of enterprise imaging systems expanding beyond radiology to include other departments, migration to cloud data storage, and adoption of artificial intelligence. Components of these integrate into the 5 trends in radiology IT systems outlined below.

5 key trends in PACS and enterprise imaging from Signify Research

Signify Research explains several key trends in the evolution of radiology PACS and enterprise imaging systems, including adoption of artificial intelligence, streamlining workflow, implementing structured reporting and more.

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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. 

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

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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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