Image 1 of 1
Key highlights
As one of the most frequently requested radiological investigations, chest X-rays often present subtle diagnostic challenges, even for experienced clinicians.
This interactive session brings together expert faculty to explore real-world diagnostic dilemmas, highlight common interpretative errors and radiological biases, and examine the growing role of artificial intelligence in CXR reporting.
The course offers a valuable opportunity to sharpen your interpretation skills, engage with case-based learning, and reflect on current and future best practices in diagnostic imaging.
Unable to attend on the day? Don’t worry, all our courses are recorded to view later. Simply book your on-demand place and receive 90 days access from the course date.
Attending this course will enable you to:
Understand the challenges and complexities of chest X-ray interpretation.
Identify common errors and radiological biases using real case examples.
Explore the role, benefits, and limitations of artificial intelligence in chest imaging.
Gain insights from current research and training initiatives.
Apply learning in a practical, case-based interactive quiz session.
Unable to attend on the day? Don’t worry, all our courses are recorded to view later. Simply book your on-demand place and receive 90 days access from the course date.
Group discounts are available. For more information, please email educateenquiries@medica.co.uk
Please Note: All tickets are fixed to a 20% VAT rate.
Course programme
08:45 – 09:00 | Registration and welcome brief introduction to the day, session overview, and housekeeping
09:00 – 09:45 | Setting the Scene: Challenges in Chest X-ray (CXR) Reporting (Tim McGivern)
Overview of current challenges in interpreting CXRs
Clinical significance and common pitfalls
Radiological biases illustrated with case examples
09:45 – 10:15 | Artificial Intelligence in CXR Interpretation: Benefits, Biases and Limitations
Role of AI in supporting CXR reporting
Potential benefits and associated risks
Critical discussion on algorithmic bias and reliability
10:15 – 10:30 | Morning Break
10:30 – 11:00 | REAL Project Overview (Mike MacKenzie)
Introduction to the REAL project
Insights from recent research and data
Implications for clinical practice and training
11:00 – 11:45 | Interactive Quiz: Interesting Chest X-ray Cases (Nick Barlow)
Rapid case-based quiz session
Test interpretation skills with expert feedback
11:45 – 12:00 | Closing Remarks and Q&A
Summary of key learning points
Final questions and feedback
*Please note that due to clinical considerations or unforeseen changes, the final programme may differ slightly from the version provided at the time of booking.
