Artificial Intelligence Applications in Medical Devices for Personalized Health Care Solutions: Systematic Review

AI-driven personalization in medical devices holds immense potential to revolutionize health care, offering more precise, adaptive, and patient-centered solutions. However, successful implementation requires addressing technical, ethical, and regulatory challenges. Emerging technologies such as quantum computing could improve AI-driven medical diagnoses by 10-20 times in processing efficiency, while blockchain-based patient data management could reduce security breaches by more than 30%. This review serves as a valuable resource for researchers, health care professionals, policymakers, and industry leaders, fostering informed discussions and guiding future advancements in AI-enabled personalized medicine.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2026-03-04
DOI
https://doi.org/10.2196/72410
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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Artificial Intelligence Applications in Medical Devices for Personalized Health Care Solutions: Systematic Review

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Journal of Medical Internet Research
Artificial Intelligence in Healthcare and Education
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Artificial Intelligence Applications in Medical Devices for Personalized Health Care Solutions: Systematic Review

Saravana Kumar Jaganathan, Hemanth Ponnambalath Mohanadas, A Manikandan, Nick Tucker, Ahmad Fauzi Ismail
article en

Abstract

AI-driven personalization in medical devices holds immense potential to revolutionize health care, offering more precise, adaptive, and patient-centered solutions. However, successful implementation requires addressing technical, ethical, and regulatory challenges. Emerging technologies such as quantum computing could improve AI-driven medical diagnoses by 10-20 times in processing efficiency, while blockchain-based patient data management could reduce security breaches by more than 30%. This review serves as a valuable resource for researchers, health care professionals, policymakers, and industry leaders, fostering informed discussions and guiding future advancements in AI-enabled personalized medicine.

Journal of Medical Internet ResearchVol. 28
University of Leicester (GB), Duy Tan University (VN), Diabetes Care Center (US), University of Technology Malaysia (MY), University of Lincoln (GB), Karpagam Academy of Higher Education (IN)
Partnerships for the goals
Openalex Percentile: Top 28%
Artificial Intelligence in Healthcare and Education
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