Kenig Nitzan, Monton Echeverria Javier, Chang Azancot Luis, De la Ossa Luis
Department of Plastic and Reconstructive Surgery, Albacete University Hospital, Albacete, Spain.
Department of Plastic Surgery, Albacete University Hospital, Albacete, Spain.
Aesthetic Plast Surg. 2024 Apr;48(7):1500-1507. doi: 10.1007/s00266-023-03554-1. Epub 2023 Aug 17.
Artificial intelligence (AI) is a milestone for human technology. In medicine, AI is set to play an important role as we progress into a new era. In plastic surgery, AI can participate in breast symmetry assessment, which until now has been mainly subjective, allowing for inconsistencies. This study aims to improve this evaluation process by integrating a novel trained neural network with the breast symmetry calculator, BAS-Calc.
We combined the BAS-Calc tool with a custom-made neural network trained to automatically detect key features of the breast. This integrated system was tested on 81 images of patients who had undergone breast reconstruction post-breast cancer treatment. Its performance was evaluated against two human observers using statistical analysis.
Our model successfully detected 399/405 (98.51%) of landmarks. Spearman and Pearson correlation indicated a strong positive relationship while Cohen's kappa demonstrated moderate to strong agreement between human observers and AI model. Notably, the average calculation time for the AI was 0.92 seconds, 16 times faster than the 14.09 seconds for humans.
Our AI model successfully calculated breast symmetry from images of patients who had undergone reconstructive oncological breast surgery, demonstrating high correlation with human assessments and a markedly reduced processing time. As AI continues to evolve, it is poised to become a pivotal tool in Medicine. Therefore, it is crucial for medical professionals to proactively engage in implementing AI technologies safely and effectively. Further studies are required to broaden our understanding and maximize the potential benefits in this area. Takeaway bullet points Artificial intelligence (AI) is an upcoming force to be reckoned with. AI should find its way into practical applications in plastic surgery. AI can be applied to improve patient care and evaluate aesthetic results. In this work, we present a novel AI model that automatically evaluates breast symmetry.
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人工智能（AI）是人类技术的一个里程碑。在医学领域，随着我们进入一个新时代，人工智能将发挥重要作用。在整形外科中，人工智能可以参与乳房对称性评估，而到目前为止，这一评估主要是主观的，存在不一致性。本研究旨在通过将一个经过训练的新型神经网络与乳房对称性计算器BAS-Calc相结合来改进这一评估过程。
我们将BAS-Calc工具与一个经过定制训练的神经网络相结合，该神经网络可自动检测乳房的关键特征。这个集成系统在81例乳腺癌治疗后接受乳房重建的患者图像上进行了测试。使用统计分析将其性能与两名人类观察者的评估进行了对比。
我们的模型成功检测到了405个地标点中的399个（98.51%）。斯皮尔曼和皮尔逊相关性表明存在很强的正相关关系，而科恩kappa系数表明人类观察者与人工智能模型之间存在中度到高度的一致性。值得注意的是，人工智能的平均计算时间为0.92秒，比人类的14.09秒快16倍。
我们的人工智能模型成功地从接受过肿瘤整形外科乳房手术的患者图像中计算出乳房对称性，与人类评估显示出高度相关性，且处理时间显著缩短。随着人工智能的不断发展，它有望成为医学领域的关键工具。因此，医疗专业人员积极安全有效地实施人工智能技术至关重要。需要进一步研究以拓宽我们的理解并最大化该领域的潜在益处。要点总结：人工智能是一股不可忽视的新兴力量。人工智能应在整形外科中找到实际应用途径。人工智能可用于改善患者护理和评估美学效果。在这项工作中，我们展示了一种自动评估乳房对称性的新型人工智能模型。
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