Bias and Oversight in Clinical AI: A Review of Decision Support Tools and Equity Frameworks

Key Points

• Bias in decision support tools remains a significant concern, affecting patient outcomes and fairness.
• Key frameworks highlight the need for oversight mechanisms to reduce inequities in AI applications.
• Assessment of existing tools reveals gaps in equity measurements among diverse populations, necessitating stronger regulations.
• Findings may indicate the need for enhanced guidelines to ensure equitable healthcare delivery using AI.