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Artificial Intelligence in Plastic Surgery: Current Status, Limitations, and Future Directions.

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    Artificial intelligence (AI) is widely used in plastic surgery for education, diagnosis, and management. While offering benefits, AI adoption requires awareness of its limitations and a multidisciplinary approach for ethical implementation.

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    Area of Science:

    • Plastic Surgery
    • Medical Informatics
    • Artificial Intelligence

    Background:

    • Artificial intelligence (AI) is increasingly integrated into plastic surgery practice and patient information seeking.
    • Numerous AI applications exist, necessitating a comprehensive understanding of their scope and impact.

    Purpose of the Study:

    • To conduct a narrative review of current artificial intelligence applications in plastic surgery.
    • To identify and discuss the challenges and limitations of AI in the field based on existing literature.

    Main Methods:

    • A PubMed search identified 1866 articles on AI in plastic surgery before September 22, 2025.
    • Exclusion criteria included letters, commentaries, reviews, surveys, and non-English articles, narrowing the scope to 460 qualifying studies.
    • Studies were categorized by AI modality, plastic surgery application, and subspecialty.

    Main Results:

    • AI applications span patient education (54 articles), surgeon education (35), clinical decision-making (79), outcome prediction (62), outcome assessment (46), diagnosis (133), practice management (46), and research (17).
    • Large language models (LLMs) were prevalent in patient education, while machine learning dominated diagnostic studies.
    • Heterogeneity in study methodologies and AI models was observed across the literature.

    Conclusions:

    • Artificial intelligence offers broad opportunities across plastic surgery, but the current literature exhibits significant heterogeneity.
    • Plastic surgeons need to understand AI's advantages and limitations for ethical, safe, and effective integration.
    • A multidisciplinary approach involving surgeons, data scientists, ethicists, and policymakers is crucial for advancing AI in plastic surgery.