Leveraging technology like artificial intelligence (AI) and data analytics to identify and correct gender biases in health outcomes can be a robust approach. However, it's crucial that the data sets used are diverse and inclusive, and the algorithms are transparent and regularly audited for bias.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.