Automatic patient centering in computed tomography: a systematic review and meta-analysis.

Objective: To comprehensively examine the influence of auto-patient centering technologies on positioning accuracy, radiation dose, image quality, and time efficiency of computed tomography (CT) scans.

Materials And Methods: A systematic search of peer-reviewed English publications was performed between January 2000 and November 2023 in PubMed, Embase, CINAHL, Scopus, and Web of Science. Two postgraduate students and an academic lecturer independently reviewed the articles to verify adherence to the inclusion criteria.

Enhancing CT examination efficiency with ChatGPT-4o for multilingual Hajj pilgrims: A short communication.

Introduction/background: The annual Hajj pilgrimage brings millions of Muslims from diverse linguistic backgrounds to Makkah, Saudi Arabia. This poses significant communication challenges in medical settings, particularly during complex procedures like computed tomography (CT) examinations. In 2024, a tertiary care hospital integrated ChatGPT-4o real-time translation technology to address these challenges.

Driving healthcare forward: The potential of mobile MRI and CT units in streamlining radiological services in Saudi Arabia - A narrative review.

Background And Purpose: This narrative review focuses on the role of mobile MRI and CT units in addressing the challenges of healthcare accessibility and patient wait times in Saudi Arabia. It underscores the growing demand for diagnostic imaging amid infrastructural and geographical barriers, emphasizing mobile units as innovative solutions for enhancing radiological services across diverse Saudi landscapes. The purpose of this study is to assess how these mobile technologies can mitigate service delays, improve patient outcomes, and support healthcare delivery in remote or underserved areas, reflecting on global trends towards more dynamic, patient-centered healthcare models.