reviewPLOS Digital HealthMay 20, 2025GOLD OA

AI-driven healthcare: A review on ensuring fairness and mitigating bias

SVSribala Vidyadhari ChintaZWZichong WangAPAvash PalikheXZXingyu ZhangAKAyesha Kashif

Florida International University · University of Pittsburgh · +3 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

Artificial intelligence (AI) is rapidly advancing in healthcare, enhancing the efficiency and effectiveness of services across various specialties, including cardiology, ophthalmology, dermatology, emergency medicine, etc. AI applications have significantly improved diagnostic accuracy, treatment personalization, and patient outcome predictions by leveraging technologies such as machine learning, neural networks, and natural language processing. However, these advancements also introduce substantial ethical and fairness challenges, particularly related to biases in data and algorithms. These biases can lead to disparities in healthcare delivery, affecting diagnostic accuracy and treatment outcomes across…

Citation impact

84
total citations
FWCI
40.53
Percentile
100%
References
140
Citations per year

Authors

8

Topics & keywords

Topics
Keywords
  • Health care
  • Transparency (behavior)
  • Personalization
  • Artificial intelligence
  • Computer science
  • Precision medicine
  • Applications of artificial intelligence
  • Healthcare delivery
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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