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利用人工智能评估乳腺癌手术结果

Evaluating Surgical Results in Breast Cancer with Artificial Intelligence.

作者信息

Kenig Nitzan, Monton Echeverria Javier, Muntaner Vives Aina

机构信息

Department of Plastic Surgery, Quironsalud Palmaplanas, Cami dels Reis 308, 03010, Palma, Balearic Islands, Spain.

University of Castilla-La Mancha, Albacete, Spain.

出版信息

Aesthetic Plast Surg. 2025 May 27. doi: 10.1007/s00266-025-04915-8.

DOI:10.1007/s00266-025-04915-8
PMID:40425883
Abstract

INTRODUCTION

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

LEVEL OF EVIDENCE IV

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 .

摘要

引言

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。

方法

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。

结果

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。

结论

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 。

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本文引用的文献

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Preoperative Patient Guidance and Education in Aesthetic Breast Plastic Surgery: A Novel Proposed Application of Artificial Intelligence Large Language Models.美容乳房整形手术中的术前患者指导与教育:人工智能大语言模型的一种新型拟用应用
Aesthet Surg J Open Forum. 2024 Aug 13;6:ojae062. doi: 10.1093/asjof/ojae062. eCollection 2024.
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Generative AI makes for better scientific writing - but beware the pitfalls.生成式人工智能有助于写出更好的科学论文——但要谨防陷阱。
Nature. 2024 Jul;631(8021):505. doi: 10.1038/d41586-024-02319-3.
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Outcomes of reconstructive techniques in breast cancer using BCCT. core software.
使用 BCCT 核心软件进行乳腺癌重建技术的结果。
World J Surg Oncol. 2024 Mar 23;22(1):82. doi: 10.1186/s12957-024-03343-3.
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Aesthetically Ideal Breasts Created With Artificial Intelligence: Validating the Literature, Racial Differences, and Deep Fakes.用人工智能塑造的美学理想乳房:验证文献、种族差异及深度伪造技术
Aesthet Surg J Open Forum. 2024 Jan 30;6:ojae006. doi: 10.1093/asjof/ojae006. eCollection 2024.
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Quality of the Information provided by ChatGPT for Patients in Breast Plastic Surgery: Are we already in the future?ChatGPT为乳房整形手术患者提供的信息质量:我们已然身处未来了吗?
JPRAS Open. 2024 Feb 15;40:99-105. doi: 10.1016/j.jpra.2024.02.001. eCollection 2024 Jun.
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Academic Surgery in the Era of Large Language Models: A Review.大语言模型时代的外科学术:综述。
JAMA Surg. 2024 Apr 1;159(4):445-450. doi: 10.1001/jamasurg.2023.6496.
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Utility and Comparative Performance of Current Artificial Intelligence Large Language Models as Postoperative Medical Support Chatbots in Aesthetic Surgery.当前人工智能大语言模型作为美容外科术后医疗支持聊天机器人的效用和比较性能。
Aesthet Surg J. 2024 Jul 15;44(8):889-896. doi: 10.1093/asj/sjae025.
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Safety and Feasibility of Single-Port Robotic-Assisted Nipple-Sparing Mastectomy.单孔机器人辅助保乳乳头切除术的安全性和可行性。
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Use of Artificial Intelligence in the Advancement of Breast Surgery and Implications for Breast Reconstruction: A Narrative Review.人工智能在乳腺外科进展中的应用及其对乳房重建的影响:一项叙述性综述
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Human Beauty according to Artificial Intelligence.人工智能视角下的人类美。
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