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 and Moorfields Eye Hospital. The analysis, published in the journal npj Digital Medicine, examined 36 regulator-approved “artificial intelligence as a medical device” (AIaMD) tools in Europe, Australia and the US, and found concerning trends. Of the