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.
Authors
- Saravana Kumar Jaganathan (ORCID: https://orcid.org/0000-0002-2785-137X)
- Hemanth Ponnambalath Mohanadas
- A Manikandan
- Nick Tucker
- Ahmad Fauzi Ismail
Institutions
- 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)
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