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Chen, Y., Clayton, E.W., Novak, L.L., Anders, S. and Malin, B. (2023) Human-Centered Design to Address Biases in Artificial Intelligence. Journal of Medical Internet Research, 25, e43251.
https://doi.org/10.2196/43251

has been cited by the following article:

• TITLE: Harnessing Artificial Intelligence for Global Health Advancement

  AUTHORS: Guntas Dhanjal

  KEYWORDS: Artificial Intelligence, Global Health, Ethics

  JOURNAL NAME: Journal of Data Analysis and Information Processing, Vol.13 No.1, February 10, 2025

  ABSTRACT: Artificial intelligence (AI) is transforming healthcare, offering the potential to optimize clinical decision-making, improve patient outcomes, and enhance care accessibility. AI-driven tools can analyze vast medical data, enabling early disease detection, accurate diagnoses, and personalized treatment. By addressing challenges such as aging populations, chronic diseases, and workforce shortages, AI can revolutionize global healthcare delivery, particularly in underserved regions. However, successful AI integration requires overcoming barriers like data quality, regulatory frameworks, and ethical considerations. Despite these challenges, AI offers a promising path to more efficient, equitable, and personalized healthcare worldwide.