AI-Enabled Smart Clothing for Continuous Health Monitoring: A Review of Materials, Sensors, Data Analytics, and Clinical Applications

Smart clothing, enabled by conductive textiles, embedded elec-trochemical and biophysical sensors, and AI-driven analytics, is maturing from a novelty into a credible tool for continuous, non-invasive health monitoring. Its value is strongest where contin-uous, longitudinal data collection is needed — chronic-disease management, athletic performance, and the prevention and re-habilitation phases of conditions such as stroke — rather than as a replacement for time-critical diagnostic modalities like CT and MRI in acute care. Realizing the full clinical potential of smart clothing will depend on resolving persistent challenges in sensor durability, power supply, data privacy, and standardiza-tion, and on generating the large-scale clinical evidence needed to move these garments from promising prototypes to validated components of routine care.

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