Perspective on AI adoption in radiology across low- and middle-income countries

A letter in European Radiology outlines challenges, priorities, and strategies for implementing AI in medical imaging in LMICs, emphasizing infrastructure gaps, workforce training, and data governance.

• This is a Letter to the Editor expressing an expert viewpoint, not an original research study.
• Key challenges highlighted include limited digital infrastructure, shortage of trained personnel, and need for robust data privacy frameworks.
• The piece proposes strategic priorities such as capacity building, public-private partnerships, and context-appropriate algorithm validation.

RadPigeon summaries are original and for information only. They are not clinical advice.