Ethical Frameworks for AI-Driven Multimodal Predictive Models in Personalized Healthcare

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Published: Apr 4, 2026
Keywords:
Artificial intelligence, Healthcare ethics, Algorithmic fairness, Health equity, Regulatory governance.

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Sai Venkat Mandalapu
School of Engineering, Brown University, Providence, Rhode Island, USA.
Rahul Nunna
Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Aarya Reddy Pamudurthy
School of Engineering, Brown University, Providence, Rhode Island, USA.
Mohammed Sarfaraz
Biomedical Engineering, College of Engineering & Computer Science, Wright State University, Dayton, Ohio, USA.
Anulekha Chegoni
Department of Information Science, University of North Texas, Denton, Texas, USA.
Shruti Bikkumalla
Department of Biotechnology, Tandon School of Engineering, New York University, Brooklyn, New York, USA.

Abstract

The integration of artificial intelligence (AI) and Internet of Medical Things (IoMT) into personalized healthcare introduces
transformative opportunities alongside profound ethical challenges threatening patient autonomy, data privacy, and health
equity. This review examines core ethical principles – autonomy, beneficence, non-maleficence, and justice, as they apply
to AI-driven healthcare systems. We analyze informed consent in AI-supported environments, algorithmic bias and fairness,
accountability and transparency, privacy preservation through federated learning, and equitable access. Drawing from international regulatory frameworks, including the WHO guidelines, the EU AI Act, and GDPR, we present evidence-based
governance strategies. Robust ethical frameworks must be embedded at every development stage from conception through
longitudinal surveillance. This review synthesizes 2021-2025 evidence providing actionable recommendations for researchers, clinicians, and policymakers advancing ethically responsible AI in personalized medicine.

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How to Cite
Mandalapu, S. V., Nunna, R., Pamudurthy, A. R., Sarfaraz, M., Chegoni, A., & Bikkumalla, S. (2026). Ethical Frameworks for AI-Driven Multimodal Predictive Models in Personalized Healthcare. International Journal of Health Technology and Innovation, 5(01), 3–7. Retrieved from https://ijht.org.in/index.php/ijhti/article/view/240
Issue
Vol. 5 No. 01 (2026): International Journal of Health Technology and Innovation
Section
Review Articles
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