人工智能和深度学习在保留鼻整形术中的应用:综述

S. Ghasemi, M. Dashti
{"title":"人工智能和深度学习在保留鼻整形术中的应用:综述","authors":"S. Ghasemi, M. Dashti","doi":"10.1177/07488068231224133","DOIUrl":null,"url":null,"abstract":"This review explores the potential applications of artificial intelligence (AI) and deep learning in preservation rhinoplasty. Preservation rhinoplasty is a surgical technique that aims to enhance the aesthetic appearance of the nose while preserving its natural structures and functions. Artificial intelligence and deep learning offer new avenues for improving surgical planning, intraoperative guidance, and postoperative analysis in this specialized field. The objective of this review is to examine how AI and deep learning can enhance preservation rhinoplasty by providing tools for precise surgical planning, real-time guidance during surgery, and comprehensive postoperative analysis. The review synthesizes information from relevant studies and articles in the field of rhinoplasty, AI, and deep learning. It discusses the potential benefits and challenges associated with the integration of AI into preservation rhinoplasty, drawing from the literature and expert insights. The review highlights several key findings: Artificial intelligence can analyze preoperative imaging data to assist surgeons in planning the procedure accurately. It can predict postoperative outcomes and enhance discussions with patients. Artificial intelligence can provide real-time guidance to surgeons, ensuring the preservation of natural nasal structures during surgery. Artificial intelligence can automate the analysis of postoperative images and patient-reported outcomes, aiding in assessing surgical success and patient satisfaction. The integration of AI in preservation rhinoplasty should prioritize patient safety, ethical considerations, and validation to ensure its effectiveness. Artificial intelligence has the potential to greatly impact the field of preservation rhinoplasty. Using advanced algorithms and machine learning techniques, AI can assist surgeons in analyzing patient data, predicting outcomes, and optimizing surgical techniques. This technology can help improve surgical precision, reduce complications, and enhance patient satisfaction. However, it is important to note that AI should be seen as a tool to support and enhance the surgeon’s expertise rather than replacing human judgment and experience. As AI continues to evolve, it is crucial for surgeons to stay updated with the latest advancements and incorporate them judiciously into their practice to achieve the best possible outcomes for their patients.","PeriodicalId":508479,"journal":{"name":"The American Journal of Cosmetic Surgery","volume":"63 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence and Deep Learning in Preservation Rhinoplasty: A Review\",\"authors\":\"S. Ghasemi, M. Dashti\",\"doi\":\"10.1177/07488068231224133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This review explores the potential applications of artificial intelligence (AI) and deep learning in preservation rhinoplasty. Preservation rhinoplasty is a surgical technique that aims to enhance the aesthetic appearance of the nose while preserving its natural structures and functions. Artificial intelligence and deep learning offer new avenues for improving surgical planning, intraoperative guidance, and postoperative analysis in this specialized field. The objective of this review is to examine how AI and deep learning can enhance preservation rhinoplasty by providing tools for precise surgical planning, real-time guidance during surgery, and comprehensive postoperative analysis. The review synthesizes information from relevant studies and articles in the field of rhinoplasty, AI, and deep learning. It discusses the potential benefits and challenges associated with the integration of AI into preservation rhinoplasty, drawing from the literature and expert insights. The review highlights several key findings: Artificial intelligence can analyze preoperative imaging data to assist surgeons in planning the procedure accurately. It can predict postoperative outcomes and enhance discussions with patients. Artificial intelligence can provide real-time guidance to surgeons, ensuring the preservation of natural nasal structures during surgery. Artificial intelligence can automate the analysis of postoperative images and patient-reported outcomes, aiding in assessing surgical success and patient satisfaction. The integration of AI in preservation rhinoplasty should prioritize patient safety, ethical considerations, and validation to ensure its effectiveness. Artificial intelligence has the potential to greatly impact the field of preservation rhinoplasty. Using advanced algorithms and machine learning techniques, AI can assist surgeons in analyzing patient data, predicting outcomes, and optimizing surgical techniques. This technology can help improve surgical precision, reduce complications, and enhance patient satisfaction. However, it is important to note that AI should be seen as a tool to support and enhance the surgeon’s expertise rather than replacing human judgment and experience. As AI continues to evolve, it is crucial for surgeons to stay updated with the latest advancements and incorporate them judiciously into their practice to achieve the best possible outcomes for their patients.\",\"PeriodicalId\":508479,\"journal\":{\"name\":\"The American Journal of Cosmetic Surgery\",\"volume\":\"63 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The American Journal of Cosmetic Surgery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/07488068231224133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The American Journal of Cosmetic Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/07488068231224133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本综述探讨了人工智能(AI)和深度学习在保留鼻整形术中的潜在应用。保留鼻整形术是一种外科技术,旨在提高鼻子的外观美感,同时保留其自然结构和功能。人工智能和深度学习为改善这一专业领域的手术规划、术中指导和术后分析提供了新的途径。本综述旨在探讨人工智能和深度学习如何通过提供精确的手术规划、术中实时指导和术后综合分析工具来提高保留鼻整形术的效果。综述综合了鼻整形、人工智能和深度学习领域相关研究和文章的信息。它从文献和专家的见解出发,讨论了将人工智能整合到保留鼻整形术中可能带来的益处和挑战。综述强调了几个重要发现:人工智能可以分析术前成像数据,协助外科医生准确规划手术。它可以预测术后结果,并加强与患者的讨论。人工智能可以为外科医生提供实时指导,确保在手术过程中保留自然的鼻腔结构。人工智能可以自动分析术后图像和患者报告结果,帮助评估手术成功率和患者满意度。在保留鼻整形术中整合人工智能时,应优先考虑患者安全、伦理因素和验证,以确保其有效性。人工智能有可能对保留鼻整形术领域产生巨大影响。利用先进的算法和机器学习技术,人工智能可以帮助外科医生分析患者数据、预测结果并优化手术技术。这项技术有助于提高手术精确度、减少并发症并提高患者满意度。但必须注意的是,人工智能应被视为支持和提高外科医生专业知识的工具,而不是取代人类的判断和经验。随着人工智能的不断发展,外科医生必须随时了解最新进展,并审慎地将其融入自己的实践中,从而为患者实现最佳治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence and Deep Learning in Preservation Rhinoplasty: A Review
This review explores the potential applications of artificial intelligence (AI) and deep learning in preservation rhinoplasty. Preservation rhinoplasty is a surgical technique that aims to enhance the aesthetic appearance of the nose while preserving its natural structures and functions. Artificial intelligence and deep learning offer new avenues for improving surgical planning, intraoperative guidance, and postoperative analysis in this specialized field. The objective of this review is to examine how AI and deep learning can enhance preservation rhinoplasty by providing tools for precise surgical planning, real-time guidance during surgery, and comprehensive postoperative analysis. The review synthesizes information from relevant studies and articles in the field of rhinoplasty, AI, and deep learning. It discusses the potential benefits and challenges associated with the integration of AI into preservation rhinoplasty, drawing from the literature and expert insights. The review highlights several key findings: Artificial intelligence can analyze preoperative imaging data to assist surgeons in planning the procedure accurately. It can predict postoperative outcomes and enhance discussions with patients. Artificial intelligence can provide real-time guidance to surgeons, ensuring the preservation of natural nasal structures during surgery. Artificial intelligence can automate the analysis of postoperative images and patient-reported outcomes, aiding in assessing surgical success and patient satisfaction. The integration of AI in preservation rhinoplasty should prioritize patient safety, ethical considerations, and validation to ensure its effectiveness. Artificial intelligence has the potential to greatly impact the field of preservation rhinoplasty. Using advanced algorithms and machine learning techniques, AI can assist surgeons in analyzing patient data, predicting outcomes, and optimizing surgical techniques. This technology can help improve surgical precision, reduce complications, and enhance patient satisfaction. However, it is important to note that AI should be seen as a tool to support and enhance the surgeon’s expertise rather than replacing human judgment and experience. As AI continues to evolve, it is crucial for surgeons to stay updated with the latest advancements and incorporate them judiciously into their practice to achieve the best possible outcomes for their patients.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信