Unveiling Biases of Artificial Intelligence in Healthcare: Navigating the Promise and Pitfalls

Authors

Dawood Rashid, School of Medicine, New York Medical College, Valhalla NY, United States.
Rahim Hirani, School of Medicine, New York Medical College, Valhalla NY, United States; Department of Neurology, New York Medical College, Valhalla, NY, United States. Electronic address: rhirani2@student.nymc.edu.
Samy Khessib, School of Medicine, New York Medical College, Valhalla NY, United States.
Neha Ali, School of Medicine, New York Medical College, Valhalla NY, United States.
Mill Etienne, Department of Neurology, New York Medical College, Valhalla, NY, United States.Follow

Author Type(s)

Student, Faculty

DOI

10.1016/j.injury.2024.111358

Journal Title

Injury

First Page

111358

Document Type

Letter to the Editor

Publication Date

3-1-2024

Department

Neurology

Keywords

Artificial intelligence, Bias mitigation, Diverse demographic data, Healthcare disparities, Machine learning

Disciplines

Medicine and Health Sciences

Recommended Citation

Rashid, D., Hirani, R., Khessib, S., Ali, N., & Etienne, M. (2024). Unveiling Biases of Artificial Intelligence in Healthcare: Navigating the Promise and Pitfalls. Injury, 55 (3), 111358. https://doi.org/10.1016/j.injury.2024.111358