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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Even AI struggles to work under stress, study suggests

Apparently, it isn’t just humans who occasionally struggle to work under stress. According to a recent study, the performance of AI flounders, too. 

April 18, 2024
chatgpt for patient questions about radiology

ChatGPT both passes and fails at translating free-text into structured reports

While the latest ChatGPT models show promise in easing the reporting burden on radiologists in the future, they aren't up to the task just yet.

April 17, 2024
Video interview with ACC President Cathie Biga on goals for college over the next year and trends she saw at ACC 2024.

New ACC President Cathie Biga wants to improve quality reporting in cardiology

Biga, who originally trained as a nurse, specializes in the business side of cardiology. She also emphasized the increasing importance of AI and other new technologies. 

April 17, 2024
artificial intelligence national security

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

April 17, 2024
physician acceptance of generative AI

Physicians are embracing clinical GenAI—in theory, at least

More than two-thirds of U.S. physicians have changed their minds about generative AI over the past year. In doing so, the re-thinkers have raised their level of trust in the technology to help improve healthcare.

April 17, 2024
ChatGPT large language models radiology health care

GPT-4 spots radiology report errors in less time, at a lower cost

The large language model can identify report errors seven times more quickly than human readers, new study reveals.

April 16, 2024
Performing CT-derived fractional flow reserve (CT-FFR) before transcatheter aortic valve replacement (TAVR) improves the accuracy of coronary CT angiography (CCTA) and helps limit unneeded invasive coronary angiography (ICA), according to a new study published in JACC: Cardiovascular Interventions. Heartflow

New cardiac imaging strategy could reduce ICA, PCI rates

Radiologists with Massachusetts General Hospital found that the selective use of cardiac CT and AI-based CAD evaluations could make a significant impact on patient care. 

April 16, 2024
ChatGPT large language models radiology health care

GPT-4 can detect radiology report errors at the same rate as members of the specialty

“This efficiency in detecting errors may hint at a future where AI can help optimize the workflow within radiology departments," a lead author of the study said. 

April 16, 2024