AI in mammography reveals systemic gaps in healthcare innovation and equity
Original framing: “[Perspectives] Mammography should include artificial intelligence support” — The Lancet
Scientific evidence from the MASAI trial supports AI's potential to improve diagnostic accuracy, but the studies often lack diversity in patient populations and do not account for real-world variability in healthcare settings. Rigorous, long-term clinical trials are needed to assess broader impacts.
The integration of AI into mammography is not merely a technical upgrade but a systemic challenge that intersects with historical patterns of healthcare inequality, cultural perceptions of health, and the power dynamics between technologists and clinicians.
By centering marginalized voices, ensuring equitable data representation, and fostering community-driven innovation, AI can be a tool for health justice rather than a mechanism of exclusion. Lessons from past medical technologies suggest that inclusive, participatory approaches are essential for sustainable and ethical AI adoption.