Objective: To test medical students' perceptions of the impact of artificial intelligence (AI) on
radiology and the influence of these perceptions on their choice of radiology as a lifetime …

Background and Aims Patients with cirrhosis on the liver transplant (LT) waiting list may die
or be removed because of complications of portal hypertension (PH) or infections. von …

Objectives We aimed to assess undergraduate medical students' knowledge, attitude, and
perception regarding artificial intelligence (AI) in medicine. Methods A multi-national, multi …

The manual reading of capsule endoscopy (CE) videos in small bowel disease diagnosis is
time-intensive. Algorithms introduced to automate this process are premature for real clinical …

Among medical specialties, radiation oncology has long been an innovator and early
adopter of therapeutic technologies. This specialty is now situated in prime position to be …

Radiology has been a pioneer in the healthcare industry's digital transformation,
incorporating digital imaging systems like picture archiving and communication system …

Purpose In this study, we aimed to develop a novel prediction model to identify patients in
need of a non-contrast head CT exam during emergency department (ED) triage. Methods …

Radiomics is a promising tool for the development of quantitative biomarkers to support
clinical decision-making. It has been shown to improve the prediction of response to …

This paper follows the reaction of the radiology profession to artificial intelligence (AI). We
examine the effort of radiology as a powerful medical specialty to maintain its professional …

The ability to understand the complexity of cancer-related data has been prompted by the
applications of (1) computer and data sciences, including data mining, predictive analytics …