“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. 

Scientists developed the deep learning algorithm using a set of over 123,000 digital mammograms (including 6,100-plus cancer cases). 

The company plans to integrate MIM Software's radiology and nuclear medicine solutions into its advanced-visualization product line. 

Yale scientists sought to gauge how LLMs such as ChatGPT-3.5/4, Google’s Bard (now known as Gemini) and Microsoft Bing could improve readability. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

“Surprisingly,” experts wrote in Nature Medicine, experience-based factors such as a physicians’ subspecialty or previous AI use failed to reliably predict the technology's impact. 

Oulu University Hospital believes AI will allow it to deliver the same level of service with one fewer scanner, enabling annual savings of over $436,000.

Researchers sent the questionnaire to over 84,000 individuals imaged through BreastScreen Norway, sharing their findings in the European Journal of Radiology.