Image-based questions were significantly more challenging for the large language model to answer, despite the latest version now being capable of accepting image prompts.
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Mahadevappa Mahesh, PhD, professor of radiology and a medical physicist at the Johns Hopkins University School of Medicine, explains a new ACR effort to ensure that lower radiation dose X-ray images under Image Wisely and As Low as Reasonable Achievable (ALARA) meet diagnostic reading standards.
Although whole-body CT scans are frequently one of the first assessments in the triage of trauma patients, new research argues that the use of bedside ultrasound could be more appropriate for initial examinations.
“This can have a major impact on the younger population, especially for women at high risk of developing breast cancer, like those with genetic mutations, where there is a necessity to start screenings at an early age,” experts explained in Academic Radiology.
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.
