The machine learning-based software uses a formula called the Integrated Jacobian Formulation to calculate lung volume based on metrics derived from imaging taken during inhalation and exhalation.
In individuals who have not completed a DEXA scan, head CT conducted for other reasons can offer insight into patients’ frontal bone density, a potential marker of osteoporosis.
Alcohol dependence and depression are known to affect the functional connectivity of the brain, but when the two co-occur, connectivity between certain regions is significantly worse, new MRI study shows.
PAD patients evaluated with HeartFlow's noninvasive FFRCT Analysis technology prior to surgery experienced much better outcomes, including a 63% lower risk of all-cause mortality after five years.
Radiology is going though a period of disruption with a growing radiologist shortage, decreasing reimbursements and increasing numbers of exams, making workflow efficiency a critical concern.
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.