Artificial Intelligence in Digital Therapeutics for Optimized Healthcare

Review Article

Abstract

Digital therapeutics (DTx) powered by artificial intelligence are reshaping modern healthcare by innovative ways of disease prevention, management, and treatment. The usage of machine learning, natural language processing, and computer vision enables DTx platforms to process patient data in real-time, predict health trajectories, and deliver personalized interventions. These intelligent systems optimize therapeutic efficacy based on individual patient responses while monitoring adherence and progress metrics to enhance clinical outcomes. In mental health applications, AI algorithms evaluate behavioral patterns and emotional states to dynamically adjust therapeutic approaches. For chronic disease management, AI-enabled DTx solutions analyze physiological data streams to generate predictive forecasts and facilitate timely clinical interventions, reducing hospitalizations and empowering patient self-management. The technology also provides healthcare providers with actionable clinical intelligence to optimize treatment protocols and decision-making processes. However, successful implementation requires addressing key challenges including data privacy, algorithmic transparency, and patient engagement. The AI and digital therapeutics are a transformation in healthcare delivery, making treatments more accessible, precise, and patient-centered. The continued evolution of AI, together with advances in digital therapeutic platforms, promises to further transform care delivery while maintaining the essential human elements of the therapeutic relationship.