Mayo Clinic's AI model identifies invisible signs of pancreatic cancer on routine CT scans, potentially transforming early ...
Abstract: Liver cancer remains one of the main causes of mortality worldwide, requiring advancements in diagnostic systems for early detection and improved patient outcomes. Computed tomography (CT) ...
Teresa explains how learning about the new parameters for low-dose CT scans led to her early lung cancer diagnosis and ...
At 61 years old, Bill had started showing changes to his health—decreased appetite, weight loss, and abdominal bloating. But ...
The intricate mysteries of ancient Egyptian mummification are being unraveled at Semmelweis University in Hungary, where researchers have employed a state-of-the-art photon-counting CT scanner to ...
CT scans reveal hidden details inside 2,300-year-old Egyptian mummies, uncovering disease, age, and ancient mummification techniques.
Abstract: Intrathoracic airway segmentation in computed tomography is a prerequisite for various respiratory disease analyses such as chronic obstructive pulmonary disease, asthma and lung cancer. Due ...
aDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA hDivision of Cardiology, Department of ...
Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...
Objectives To evaluate the diagnostic accuracy of CT in identifying small and large bowel obstruction and associated complications, including ischaemia and perforation, in adult patients. Design ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results