This module explores the integration of artificial intelligence (AI) within the medical imaging workflow, focusing on its role in supporting diagnostic efficiency, clinical decision making, and patient outcomes. It examines how AI is applied across key stages of the imaging pathway, from triage, detection and reporting and considers the implications for clinical practice. It highlights the growing evidence base for AI in radiology, outlines key benefits and limitations, and discusses the importance of maintaining clinical oversight when using AI supported tools. Workforce implications, ethical considerations, and future developments within AI enabled imaging pathways are also addressed.
This module is primarily intended for radiology healthcare professionals, including radiographers and radiology residents, but is also relevant to radiologists and other clinicians involved in imaging pathways.
To earn CME credit, follow these steps:
Each DoctorCPD module is designed to be completed within the time designated on the Module Introduction page. This is an estimate of the maximum time required to complete the specific module and is determined by the format and content of the module. Users should claim only those credits that reflect the time actually spent on the activity.
To successfully earn credit, participants must complete the activity online, and receive a minimum score of 70% on the post-module assessment.