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References

References

  • Haider, S. A., Borna, S., Gomez Cabello, C. A., Pressman, S. M., Haider, C. R., & Forte, A. J. (2026). The algorithmic divide: A systematic review on AI-driven racial disparities in healthcare. Journal of Racial and Ethnic Health Disparities, 13(1), 188–217. https://doi.org/10.1007/s40615-024-02237-0
  • The Joint Commission & Coalition for Health AI. (2025). Responsible use of artificial intelligence in healthcare (RUAIH). https://www.jointcommission.org
  • Mello, M. M., & Roberts, J. L. (2024). Antidiscrimination law meets artificial intelligence: New requirements for health care organizations and insurers. JAMA Health Forum, 5(8), e243397. https://doi.org/10.1001/jamahealthforum.2024.3397
  • National Institute of Standards and Technology. (2023). Artificial intelligence risk management framework (AI RMF 1.0). https://doi.org/10.6028/NIST.AI.100-1
  • Ramachandran, A., Gupta, U., Sarabu, C., et al. (2025). Sustainably advancing health AI: A decision framework to mitigate energy, emissions, and cost. NEJM Catalyst.6. 10.1056/CAT.25.0125.