Kenig Nitzan, Monton Echeverria Javier, Muntaner Vives Aina
Department of Plastic Surgery, Quironsalud Palmaplanas, Cami dels Reis 308, 03010, Palma, Balearic Islands, Spain.
University of Castilla-La Mancha, Albacete, Spain.
Aesthetic Plast Surg. 2025 May 27. doi: 10.1007/s00266-025-04915-8.
Artificial intelligence (AI) is rapidly transforming healthcare, with increasing applications in surgical evaluation. In breast cancer surgery, achieving aesthetic symmetry is essential for patient satisfaction and emotional well-being. While human evaluation remains fundamental, AI-driven symmetry assessment promises objective alternatives. This study evaluates the performance of publicly available AI models in breast symmetry assessment and compares them with Pyolo8, a custom AI model developed by the authors. Additionally, the study explores the potential emotional impact and ethical considerations of AI-generated assessments in postoperative breast cancer patients.
Sixty-eight patients who underwent breast reconstruction were evaluated with the use of publicly available AI models and contrasted with an AI model developed by the authors named Pyolo8. All results were evaluated by human observers.
ChatGPT 4o and Pyolo8 AI models showed statistically significant moderate to strong positive correlation for postoperative assessment when compared to human observers. Direct interaction between AI models and patients was censored due to concerns of misinterpretation.
Both ChatGPT and Pyolo8 showed moderate to strong correlation with humans, but ChatGPT demonstrated superior communication skills. However, AI systems may lack the subtlety and empathy required for direct patient interactions, as vulnerable postoperative patients receiving an AI-generated symmetry assessment without appropriate clinical context may experience emotional distress or misinterpret the results. Human oversight and empathetic communication remain essential to ensure quality care while AI is increasingly integrated into medicine.
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
人工智能(AI)正在迅速改变医疗保健领域,在手术评估中的应用越来越多。在乳腺癌手术中,实现美学对称对于患者的满意度和情绪健康至关重要。虽然人工评估仍然是基础,但人工智能驱动的对称评估有望提供客观的替代方案。本研究评估了公开可用的人工智能模型在乳房对称评估中的性能,并将其与作者开发的自定义人工智能模型Pyolo8进行比较。此外,该研究还探讨了人工智能生成的评估对乳腺癌术后患者的潜在情绪影响和伦理考量。
使用公开可用的人工智能模型对68例接受乳房重建的患者进行评估,并与作者开发的名为Pyolo8的人工智能模型进行对比。所有结果均由人类观察者进行评估。
与人类观察者相比,ChatGPT 4o和Pyolo8人工智能模型在术后评估中显示出具有统计学意义的中度至强正相关。由于担心误解,人工智能模型与患者之间的直接互动受到审查。
ChatGPT和Pyolo8与人类的相关性均为中度至强,但ChatGPT表现出卓越的沟通技巧。然而,人工智能系统可能缺乏直接与患者互动所需的微妙性和同理心,因为脆弱的术后患者在没有适当临床背景的情况下接受人工智能生成的对称评估可能会经历情绪困扰或误解结果。在人工智能越来越多地融入医学的同时,人类监督和富有同理心的沟通对于确保优质护理仍然至关重要。
证据水平IV:本期刊要求作者为每篇文章指定证据水平。有关这些循证医学评级的完整描述,请参阅目录或在线作者指南www.springer.com/00266 。