This chapter explores the transformative role of artificial intelligence (AI) in the management of systemic conditions. It begins with an overview of AI applications across chronic and complex diseases, followed by a focus on AI-driven continuous monitoring through wearable technologies and sensor networks. The chapter discusses personalized treatment and clinical decision support systems that adapt to individual patient profiles. Predictive analytics for early risk stratification and complication prevention are examined, alongside tools that enhance patient engagement and self-management. Concluding remarks highlight the challenges and future directions for integrating AI into routine care for systemic disease management, with emphasis on safety, equity, and scalability.

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AI in Managing Systemic Conditions

  • Tuan D. Pham,
  • Simon Holmes,
  • Domniki Chatzopoulou,
  • Paul Coulthard

摘要

This chapter explores the transformative role of artificial intelligence (AI) in the management of systemic conditions. It begins with an overview of AI applications across chronic and complex diseases, followed by a focus on AI-driven continuous monitoring through wearable technologies and sensor networks. The chapter discusses personalized treatment and clinical decision support systems that adapt to individual patient profiles. Predictive analytics for early risk stratification and complication prevention are examined, alongside tools that enhance patient engagement and self-management. Concluding remarks highlight the challenges and future directions for integrating AI into routine care for systemic disease management, with emphasis on safety, equity, and scalability.