Margaret Whitehead and colleagues emphasize the importance of education and training for healthcare professionals to address inequities in medical devices, particularly related to skin tone diversity and biases in AI-enabled devices. They highlight the impact of racial bias on medical device performance, such as hidden hypoxaemia in patients with darker skin tones. Recommendations include incorporating skin tone diversity training in clinical education, addressing biases in AI algorithms, and improving health equity literacy among AI developers and healthcare professionals. The authors stress the need for systemwide solutions to improve the quality of health data on ethnicity and social determinants of health to ensure equitable healthcare practices.
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