The General Population's Perspectives on Implementation of Artificial Intelligence in Radiology in the Western Region of Saudi Arabia.

Background  Artificial intelligence (AI) is a broad spectrum of computer-executed operations that mimics the human intellect. It is expected to improve healthcare practice in general and radiology in particular by enhancing image acquisition, image analysis, and processing speed. Despite the rapid development of AI systems, successful application in radiology requires analysis of social factors such as the public's perspectives toward the technology.

Peer-assisted versus expert-assisted learning in virtual chest x-ray interpretation: A randomized controlled trial.

Objectives: To compare the effectiveness of peer-assisted learning (PAL) and expert-assisted learning (EAL) in terms of knowledge gain in virtual chest x-ray (CXR) interpretations. The secondary objective was to assess students' satisfaction levels between both groups.

Methods: In this randomized controlled trial, second-year medical students who met the inclusion criteria were randomly assigned to the PAL and EAL groups.