Artificial Intelligence-Driven Wearable and Connected Technology for Allergy: Real-Time Monitoring and Predictive...

Area of Science:

• Allergy and immunology
• Digital health
• Artificial intelligence

Background:

• Allergic diseases are a growing global health concern, necessitating advanced management approaches.
• Wearable and connected technologies, powered by artificial intelligence (AI), are emerging as potential solutions for real-time allergy monitoring and personalized interventions.

Purpose of the Study:

• To review AI-enabled tools for allergy care, encompassing physiologic monitoring, environmental exposure tracking, and patient behavior analysis.
• To examine connected medication-adherence technologies and predictive algorithms for allergy exacerbations.
• To assess the benefits and limitations of these technologies in clinical practice.

Main Methods:

• Systematic review of AI-driven wearable and connected technologies for allergy management.
• Analysis of tools monitoring physiologic signals, environmental factors (particulates, VOCs), and patient behaviors.
• Inclusion of digital inhalers and predictive algorithms for exacerbation forecasting.

Main Results:

• Reported benefits include early detection of clinical decline, enhanced medication adherence and technique, and tailored management strategies.
• Significant limitations exist concerning data accuracy, user adoption, workflow integration, equity, privacy, and regulatory hurdles.
• Most reviewed technologies are in early-stage development, with limited evidence from prospective trials demonstrating patient-centered outcome improvements.

Conclusions:

• AI-driven wearable and connected technologies hold potential for proactive and personalized allergy care.
• Realizing clinical value requires rigorous outcome validation, robust privacy/security measures, bias assessment, and seamless integration into clinical workflows and reimbursement models.
• Further development and validation are crucial for widespread adoption and impact on patient outcomes.