Ensuring Medical Imaging Quality: From Protocols to AI
*Corresponding Author: Dr. Victor Mensah, Department of Imaging Quality, University of Ghana, Ghana, Email: v.mensah@iqc.ghReceived Date: Jul 01, 2025 / Published Date: Jul 29, 2025
Citation: Mensah DV (2025) Ensuring Medical Imaging Quality: From Protocols to AI. J Radiol 14: 705.DOI: 10.4172/2167-7964.1000705
Copyright: © 2025 Dr. Victor Mensah This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
This compilation of articles underscores the critical role of quality control (QC) in medical imaging for ensuring diagnostic accuracy and patient safety. It covers essential aspects such as standardized protocols, equipment calibration, and advanced techniques like AI integration for artifact detection. Specific considerations for digital radiography, MRI, CT, mammography, ultrasound, PACS, and interventional radiology are discussed, emphasizing the need for consistent image quality to support reliable diagnoses and effective patient care.
