Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review
Abstract Background Artificial intelligence (AI)-based systems are being rapidly integrated into the fields of health and social care. Although such systems can substantially improve the provision of care, diverse and marginalized populations are often incorrectly or insufficiently represented withi...
Saved in:
Main Authors: | John Gabriel O. Marko, Ciprian Daniel Neagu, P. B. Anand |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-02-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-025-02884-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Promoting inclusion in COVID-19 research for diverse Hispanic/Latino(x) populations: Recommendations from the RADx® Underserved Populations Hispanic/Latino/Latinx working group
by: Rosa M. Gonzalez-Guarda, et al.
Published: (2025-01-01) -
The integration of AI in nursing: addressing current applications, challenges, and future directions
by: Qiuying Wei, et al.
Published: (2025-02-01) -
Advances and utility of digital twins in critical care and acute care medicine: a narrative review
by: Gabriele A. Halpern, et al.
Published: (2025-01-01) -
Artificial Intelligence in Healthcare: Current Trends and Future Directions
by: Shambo Samrat Samajdar, et al.
Published: (2025-01-01) -
Ethics of artificial intelligence in medicine
by: Julian Savulescu, et al.
Published: (2024-03-01)