Considerations for addressing bias in artificial intelligence for health equity

Summary: The article addresses health equity concerns in the context of AI/ML-enabled medical technologies. It emphasizes the need for a comprehensive framework, the Total Product Lifecycle (TPLC), to assess and mitigate bias in various phases of healthcare AI/ML development. The authors advocate for education and discussion among stakeholders to address potential biases, ensuring health equity throughout the technology’s lifecycle and ultimately promoting better outcomes for all. The goal is to improve access to diagnosis and treatment while preventing the exacerbation of disparities by digital health technologies.

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