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.