Overview

This session provides a review of diagnostic radiology focusing on image interpretation and integration into clinical decision-making. Participants will explore common radiologic findings across body systems, recognize imaging patterns associated with urgent and emergent conditions, and gain confidence in communicating radiology results. Emphasis will be placed on reducing diagnostic error, understanding the role of AI, and applying imaging appropriateness criteria to enhance patient outcomes.

Learning Objectives

1. Identify key radiographic features of common and critical pathologies across various imaging modalities (e.g., X-ray, CT, MRI, ultrasound).
2. Evaluate the appropriate use of imaging studies based on clinical presentation and evidence-based guidelines.
3. Interpret imaging findings with improved accuracy, using a systematic approach to minimize diagnostic errors.
4. Apply radiology reports and imaging insights effectively in patient management and interdisciplinary collaboration.
5. Describe current trends and innovations in diagnostic radiology, including the role of artificial intelligence, structured reporting, and teleradiology.

Prerequistes 

None