AI-Based Personalized Approaches to Postoperative Pain and Anxiety: Opportunities and Challenges

Abstract

Anesthesia, Intraoperative and Persistent Postoperative Pain and Anxiety pose considerable and multifaceted challenges in present-day surgical practice, which negatively influence recovery, satisfaction, and the long-term health outcomes. Conventional pain management guidelines are not always flexible enough to handle the personal differences and comorbid psychological problems. In this review, discuss how the sphere of perioperative care is being transformed by artificial intelligence (AI), in particular, it allows for the real-time monitoring of the patient, accurate pain detection, and individual approach to treatment. AI allows using dynamic and data-driven methods of pain and anxiety management by incorporating technologies, including machine learning (ML), natural language processing, and predictive analytics. The examples of applications mentioned are AI-assisted chatbots to support patients, voice pain measurements, and virtual reality-based interventions to minimize psychological distress. Also, the importance of AI in the promotion of personalized medicine and addressing multimorbidity is outlined. Ethical consideration, data privacy, and system scalability are two other concepts that the paper highlighted in regard to the use of AI tools in the clinical environment. It ends with discussing the existing drawbacks and possible ways of perspective development of intelligent and patient-centered methods of enhancing postoperative outcomes.