Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with
possible positive and negative consequences. The integration of AI in radiology holds the …

Purpose To assess the cost-effectiveness and clinical efficacy of AI-assisted abdominal CT-
based opportunistic screening for atherosclerotic cardiovascular (CV) disease, osteoporosis …

According to the World Health Organization, climate change is the single biggest health
threat facing humanity. The global health care system, including medical imaging, must …

Purpose To compare fully automated artificial intelligence body composition measures
derived from thin (1.25 mm) and thick (5 mm) slice abdominal CT data. Methods In this …

Importance Prior studies demonstrated consistent associations of low skeletal muscle mass
assessed on surgical planning scans with postoperative morbidity and mortality. The …

BACKGROUND. Precontrast CT is an established means of evaluating for hepatic steatosis;
postcontrast CT has historically been limited for this purpose. OBJECTIVE. The purpose of …

Objective To describe a method to calculate the total intra‐articular volume (inter‐osseous
space) of the temporomandibular joint (TMJ) determined by cone‐beam computed …

Background Hyperthyroidism is frequently under-recognized and leads to heart failure and
mortality. Timely identification of high-risk patients is a prerequisite to effective antithyroid …

Metabolic syndrome refers to the cluster of cardiometabolic risk factors affecting individuals
who are overweight that includes dyslipidemia, hypertension, and glucose intolerance. Of …

Objective Assess automated CT imaging biomarkers in patients who went on to hip fracture,
compared with controls. Methods In this retrospective case-control study, 6926 total patients …