Evidence gaps remain for AI eye imaging devices approved for patient care

Regulator-approved AI models used in eye care vary widely in providing evidence for clinical performance and lack transparency about training data, including details of gender, age and ethnicity, according to a new review led by researchers at UCL (University College London) and Moorfields Eye Hospital.

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