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Deploying Artificial Intelligence to Better Understand Chronobiology: A Critical Review

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  • Olufunke R. Igbede

    (Maple, Ontario, Canada)

Abstract

Use of artificial intelligence in discovering and understanding the chronobiology is a newer beginning in the field of computational science, biological rhythms and health informatics. This literature review aims at critical analysis of the available literature published within the past 3 years, which discusses the examples of applications of AI to the chronobiological phenomena, what difficulties and opportunities are still extant and what gaps in theoretical bases or methods still exist. The discussion follows a systematic structure in terms of (i) the

Suggested Citation

  • Olufunke R. Igbede, 2025. "Deploying Artificial Intelligence to Better Understand Chronobiology: A Critical Review," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 9453-9458, September.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-9:p:9453-9458
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    References listed on IDEAS

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    1. James L Cross & Michael A Choma & John A Onofrey, 2024. "Bias in medical AI: Implications for clinical decision-making," PLOS Digital Health, Public Library of Science, vol. 3(11), pages 1-19, November.
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