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Exploring the Balance Between Artificial Intelligence and Human Expertise in Shaping Breast Reconstruction Outcomes:

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Artificial intelligence (AI) provides satisfactory answers for breast reconstruction patient questions. While generally accurate, AI shows limitations in nuanced oncological justification compared to expert surgeons.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Surgical Oncology

Background:

  • Artificial intelligence (AI) shows promise in patient education and clinical decision support.
  • AI's role in counseling patients regarding breast reconstruction is not well-established.
  • This study evaluates AI performance in breast reconstruction patient counseling.

Purpose of the Study:

  • To compare artificial intelligence (AI)-generated responses with expert surgeon answers.
  • To assess AI performance in answering patient questions on breast reconstruction.
  • To evaluate AI responses across oncological justification, reconstructive options, and postoperative care domains.

Main Methods:

  • An observer-blinded study utilized five real-world clinical scenarios.
  • ChatGPT-5 and a senior plastic surgeon responded to patient questions.
  • Answers were evaluated by another senior surgeon using a 4-grade scoring system for accuracy, completeness, safety, nuance, and guideline adherence.

Main Results:

  • AI responses averaged a score of 3.1 ± 0.6 across 40 questions.
  • AI scored lower for oncological justification (2.8 ± 0.7) but higher for reconstruction options/outcomes and postoperative care (3.2 ± 0.4).
  • No AI responses were unsatisfactory; 15% were excellent, comprehensive, accurate, and patient-friendly.

Conclusions:

  • ChatGPT-5 offers satisfactory, readable, and medically accurate basic answers for breast reconstruction patient queries.
  • AI demonstrates limitations in providing nuanced oncological justification.
  • AI shows potential as a supplementary tool for patient education in breast reconstruction.