ChatGPT-4, the latest version of Open AI’s massively popular dialogue-based artificial intelligence (AI) model, delivered a “low performance” when tasked with answering questions about echocardiography, according to a new research letter published in JACC: Cardiovascular Imaging.[1]

Ultrasound combined with MRI has the potential to enhance the differentiation of benign and malignant breast nonmass-like lesions, according to the results of a study published in Ultrasound in Medicine & Biology. [1]

The GPT-4 artificial intelligence model, the backbone of popular chatbot ChatGPT, showed it can generate radiology reports that are comparable in quality to radiologists’ reports at a more efficient rate.

ASTRO Updates Guidelines on Partial Breast Irradiation for Early Invasive Cancer. Evidence from RCTs indicates “oncologic equivalence” between partial and whole-breast irradiation.

Hospitals Have Many Opportunities to Reduce Greenhouse Gas Emissions, Experts Say. Radiology departments and operating rooms are good targets.

Joint space narrowing (JSN) and erosions in rheumatoid arthritis (RA) were measured and graded about as well by computerised x-ray analysis as by a human rheumatologist, a researcher reported here.

A new AI model can interpret chest X-ray images accurately utilising information that goes beyond the image itself, much like an experienced radiologist.

Researchers used eye-tracking to measure if the “positive findings only” radiology reporting style could improve the accuracy and generally hold the attention of radiologists.

With the recent implementation of the Cures Act, which grants patients immediate access to radiology reports, a new study has shed light on how this change impacts the mental well-being of oncology patients.

Arineta Cardio Imaging, a healthcare company based in Israel, gained clearance from the U.S. Food and Drug Administration (FDA) for the deep learning image reconstruction (DLIR) technology used in its SpotLight cardiovascular CT scanners.