Risk of 'data poverty' if data underpinning AI health technologies is not representative and inclusive

A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability
The Lancet Digital Health 01October 2020 DOI:https://doi.org/10.1016/S2589-7500(20)30240-5

• Based on analysis of publicly available ophthalmological imaging datasets the authors warn of the risk of reinforcing healthcare inequalities if new AI health technologies are based on unrepresentative datasets – a situation they describe as ‘health data poverty’.
• Press release