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March 14, 2026Journal of Medical Internet Research8 citationsOpen Access

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

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HMHemanth Ponnambalath MohanadasDiabetes Care CenterAMA ManikandanKarpagam Academy of Higher EducationAIAhmad Fauzi IsmailUniversity of Technology Malaysia

Key Points

  • The review aims to explore the applications of artificial intelligence in medical devices to enhance personalized health care solutions.
  • Systematic review of AI applications in medical devices
  • Analysis of technical, ethical, and regulatory challenges
  • Evaluation of emerging technologies like quantum computing and blockchain
  • AI-driven personalization offers adaptive and patient-centered solutions
  • Quantum computing could improve AI medical diagnoses processing efficiency by 10-20 times
  • Blockchain can reduce patient data security breaches by over 30%

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.

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Cite This Study

Mohanadas et al. (2026) studied this question.

synapsesocial.com/papers/69b4adb518185d8a398017efhttps://doi.org/10.2196/72410
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