A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

A novel artificial intelligence method can be used to generate high-quality 'PET/CT' images and subsequently decrease radiation exposure to the patient. The method bypasses the need for CT-based ...

CT scans identified cancer in 13% of patients with non-specific symptoms, despite a fivefold increase in referrals from GPs from 2012 to 2019. Around 1 in 7 patients were diagnosed with cancer. This ...

Prof. Hengyong Yu of the Department of Electrical and Computer Engineering has been awarded a four-year, $2.3 million grant by the National Institutes of Health’s National Institute of Biomedical ...

Computed tomography (CT) scans could soon account for 5 percent of all new cancer cases diagnosed annually if current practices persist, a new study has concluded. That sounds scary; but how serious ...

Study Shows BDI Screening of Existing Patient CT Scans for Undetected Osteoporosis Also Finds Undetected Cardiovascular Disease Risk – Enabling Prevention of Fractures, Heart Attack and Stroke with ...

Please provide your email address to receive an email when new articles are posted on . Preoperative planning technology, such as CT scans and patient-specific instrumentation, did not improve ...