AI Drives Personalization in Medical Devices
A 2026 systematic review in Journal of Medical Internet Research by Mohanadas et al. analyzes AI-driven personalization in medical devices, synthesizing over 100 peer-reviewed studies published between 2016 and 2023. It reports high-performing applications (up to 98.88% multiclass X-ray classification and 95% insulin-site recognition), identifies challenges including data security, algorithmic bias, and regulatory hurdles, and notes the market could exceed US $187.95 billion by 2030 at a 37% CAGR.
Key Points
- 1Reports AI advances in diagnostics, wearables, and prosthetics achieving up to 98.88% and 95% accuracy.
- 2Highlights market scale: AI in health care projected to exceed US $187.95 billion by 2030, 37% CAGR.
- 3Recommends enforcing data validation, ethical guidelines, and regulatory frameworks to enable safe clinical deployment.
Scoring Rationale
Comprehensive, peer-reviewed synthesis supports high impact and industry relevance; however, review nature limits novel empirical contributions.
Sources
Public references used for this report.
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