Three key domains for optimizing preoperative preparedness in plastic surgery with AI

Abstract

Artificial Intelligence (AI) is reshaping preoperative preparation for both patients and surgeons in plastic surgery, offering innovative tools that improve efficiency, precision, and outcomes. This manuscript examines the growing role of AI in preoperative patient education, surgeon preparation, and clinical workflows, and provides an overview of its main domains of impact. AI-powered tools show great promise in consultations, providing personalized, clear patient education, simplifying administrative tasks such as drafting consultation letters, and enhancing communication. For surgeons, AI can support preoperative planning with reinforcement learning, advanced imaging algorithms, and virtual simulations. These technologies assist in accurate surgical decision making, as seen in deep inferior epigastric artery perforator (DIEP) flap breast reconstruction, where AI may be able to reduce perforator analysis times while maintaining precision. In aesthetic surgery, AI-driven 3D imaging and generative algorithms enable realistic postoperative simulations, improving communication and helping patients set realistic expectations. From a patient communication perspective, AI promotes patient-centered care by simplifying medical jargon, making information more accessible, and fostering better understanding and adherence. Despite challenges such as ethical considerations, data security, and algorithmic bias, AI’s integration into preoperative workflows highlights its potential to improve patient and surgeon experiences. By enhancing patient education, refining surgical strategies, and optimizing preparation, AI is redefining how care is delivered in plastic surgery, aiming for better patient satisfaction and outcomes. Collaboration among clinicians, engineers, and ethicists remains crucial to ensure the responsible use of AI, balancing innovation with the core values of medical care.

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