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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Imaging giant RadNet loses $25M on AI segment but sees profitability ahead in 2024

The Los Angeles-based imaging center operator has made a big play in AI recently, including buying two such firms last year for $100M. 

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AI competition furthers research on computer-aided detection in breast imaging

For the challenge, eight teams were tasked with developing algorithms capable of achieving high sensitivity for lesion detection on DBT exams.

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.

The evolution of care: 3 key takeaways from a new survey of cardiologists, health leaders and CVD patients

The report, developed by Abbott, examined everything from AI to social determinants of health. One key finding was that patients grade their overall satisfaction with a physician or hospital based on much more than the effectiveness of their treatment. 

Q&A: Dr. William Brody reflects on a radiological life well lived

As a high-schooler, he rebuilt a hospital’s discarded X-ray machine to learn the science of crystallography using the principles of Bragg diffraction.

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.