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 …

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

Background Diagnosing osteoporosis is challenging due to its often asymptomatic
presentation, which highlights the importance of providing screening for high-risk …

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 …

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 …

Background The impact of decreased bone mineral density (BMD) on traumatic rib fractures
remains unknown. We combined computed tomography (CT) and artificial intelligence (AI) to …

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

Dr Stuart Taylor is a professor of medical imaging in the Center for Medical Imaging,
University College London. His research interests focus on crosssectional imaging of the …

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 …