Indiana University School of Medicine, Indianapolis Indiana, USA.
Menlo School, Atherton, California, USA.
Facial Plast Surg Aesthet Med. 2024 Nov-Dec;26(6):679-705. doi: 10.1089/fpsam.2024.0204.
To analyze the quality of artificial intelligence (AI) and machine learning (ML) tools developed for facial aesthetic surgery. Medline, Embase, CINAHL, Central, Scopus, and Web of Science databases were searched in February 2024. All original research in adults undergoing facial aesthetic surgery was included. Pilot reports, case reports, case series ( < 5), conference proceedings, letters (except research letters and brief reports), and editorials were excluded. Facial aesthetic surgery procedures employing AI and ML tools to measure improvements in diagnostic accuracy, predictive outcomes, precision patient counseling, and the scope of facial aesthetic surgery procedures where these tools have been implemented. Out of 494 initial studies, 66 were included in the qualitative analysis. Of these, 42 (63.6%) were of "good" quality, 20 (30.3%) were of "fair" quality, and 4 (6.1%) were of "poor" quality. AI improves diagnostic accuracy, predictive capabilities, patient counseling, and facial aesthetic surgery treatment planning.
分析用于面部美容手术的人工智能 (AI) 和机器学习 (ML) 工具的质量。 2024 年 2 月在 Medline、Embase、CINAHL、Central、Scopus 和 Web of Science 数据库中进行了检索。 纳入所有接受面部美容手术的成年人的原始研究。 排除了试点报告、病例报告、病例系列（<5）、会议记录、信件（除研究信件和简要报告）和社论。 使用 AI 和 ML 工具来衡量诊断准确性、预测结果、精确患者咨询以及这些工具已实施的面部美容手术范围的面部美容手术程序。 在最初的 494 项研究中，有 66 项被纳入定性分析。 其中，42 项（63.6%）为“良好”质量，20 项（30.3%）为“中等”质量，4 项（6.1%）为“较差”质量。 AI 提高了诊断准确性、预测能力、患者咨询和面部美容手术治疗计划。
