• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

眼科整形中的人工智能:基于调查的从业者视角研究

Artificial Intelligence in Oculoplastics: A Survey-Based Study on Provider Perspective.

作者信息

Fazekas Balazs, Moledina Malik, Singhania Nehal, Tambe Katya

机构信息

Ophthalmology - Oculoplastics, Nottingham University Hospitals, Nottingham, GBR.

Ophthalmology, Queen Victoria Hospital, East Grinstead, GBR.

出版信息

Cureus. 2025 Mar 27;17(3):e81271. doi: 10.7759/cureus.81271. eCollection 2025 Mar.

DOI:10.7759/cureus.81271
PMID:40291243
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12032587/
Abstract

Purpose This survey aims to explore the attitudes of ophthalmologist oculoplastic surgeons in the United Kingdom (UK) towards specific advances in artificial intelligence (AI). Methods A web-based anonymised survey was distributed to oculoplastic surgeons in the UK between October 2023 and March 2024. The survey evaluated attitudes towards specific AI advances using a five-point scale. Questions were designed to ascertain understanding, application, as well as attitudes towards anticipated future developments, barriers and challenges of AI within the current oculoplastic clinical landscape. Results In total, 77 survey responses were analysed from oculoplastic surgeons practising around the UK. The majority of the responses were from oculoplastic consultants (64%, 44/69), with other responses from oculoplastic fellows (12%, 8/69), ophthalmology consultants (10%, 7/69), speciality training surgeons (6%, 4/69) and other ophthalmology clinicians (9%). The responses highlighted that there is a widespread level of subjective understanding of the topic of AI, a low level of current AI in clinical practice and an anticipation that AI will have a noticeable impact in the next one to five years (45%, 29/64) or five to 10 years (36%, 23/64) in the UK. Specific applications of applications of AI are also discussed in further detail. Conclusions Oculoplastic surgeons feel that AI will have an imminent role in this speciality, but there is a low level of self-rated knowledge and low current use of AI in clinical practice. Given the potential of this technology, further resources need to be invested into equipping Oculoplastic surgeons to feel more prepared for this technological revolution.

摘要

目的 本次调查旨在探究英国眼科整形医生对人工智能(AI)特定进展的态度。方法 2023年10月至2024年3月期间,向英国的眼科整形医生发放了一份基于网络的匿名调查问卷。该调查采用五点量表评估对AI特定进展的态度。问题旨在确定在当前眼科整形临床环境中对AI的理解、应用,以及对预期未来发展、障碍和挑战的态度。结果 共分析了来自英国各地执业的眼科整形医生的77份调查问卷回复。大多数回复来自眼科整形顾问(64%,44/69),其他回复来自眼科整形专科住院医生(12%,8/69)、眼科顾问(10%,7/69)、专科培训外科医生(6%,4/69)和其他眼科临床医生(9%)。回复表明,对AI主题存在广泛的主观理解,临床实践中当前AI应用水平较低,并且预计AI将在未来一到五年(45%,29/64)或五到十年(36%,23/64)对英国产生显著影响。还进一步详细讨论了AI的具体应用。结论 眼科整形医生认为AI将在该专业中发挥重要作用,但自我评估的知识水平较低,且临床实践中AI的当前使用程度较低。鉴于这项技术的潜力,需要投入更多资源,使眼科整形医生为这场技术革命做好更充分的准备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/726e1b5b3f02/cureus-0017-00000081271-i09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/1bf127df34bb/cureus-0017-00000081271-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/4efc794254a1/cureus-0017-00000081271-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/2d40de5bf623/cureus-0017-00000081271-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/0089c26aa3b2/cureus-0017-00000081271-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/d8923d931c97/cureus-0017-00000081271-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/92e60cf649bf/cureus-0017-00000081271-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/8c37393d5f86/cureus-0017-00000081271-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/bd498c7cc3cf/cureus-0017-00000081271-i08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/726e1b5b3f02/cureus-0017-00000081271-i09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/1bf127df34bb/cureus-0017-00000081271-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/4efc794254a1/cureus-0017-00000081271-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/2d40de5bf623/cureus-0017-00000081271-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/0089c26aa3b2/cureus-0017-00000081271-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/d8923d931c97/cureus-0017-00000081271-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/92e60cf649bf/cureus-0017-00000081271-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/8c37393d5f86/cureus-0017-00000081271-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/bd498c7cc3cf/cureus-0017-00000081271-i08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/12032587/726e1b5b3f02/cureus-0017-00000081271-i09.jpg

相似文献

1
Artificial Intelligence in Oculoplastics: A Survey-Based Study on Provider Perspective.眼科整形中的人工智能:基于调查的从业者视角研究
Cureus. 2025 Mar 27;17(3):e81271. doi: 10.7759/cureus.81271. eCollection 2025 Mar.
2
Accuracy and Bias in Artificial Intelligence Chatbot Recommendations for Oculoplastic Surgeons.人工智能聊天机器人为眼科整形医生提供的建议中的准确性和偏差
Cureus. 2024 Apr 4;16(4):e57611. doi: 10.7759/cureus.57611. eCollection 2024 Apr.
3
Telemedicine in oculoplastic and adnexal surgery: clinicians' perspectives in the UK.眼整形和附属器手术中的远程医疗:英国临床医生的观点。
Br J Ophthalmol. 2022 Oct;106(10):1344-1349. doi: 10.1136/bjophthalmol-2020-318696. Epub 2021 Apr 28.
4
Orthopaedic surgeons display a positive outlook towards artificial intelligence: A survey among members of the AGA Society for Arthroscopy and Joint Surgery.骨科医生对人工智能持积极态度:对AGA关节镜与关节外科学会成员的一项调查。
J Exp Orthop. 2024 Jul 6;11(3):e12080. doi: 10.1002/jeo2.12080. eCollection 2024 Jul.
5
The use and future perspective of Artificial Intelligence-A survey among German surgeons.人工智能的使用和未来展望——一项针对德国外科医生的调查。
Front Public Health. 2022 Oct 5;10:982335. doi: 10.3389/fpubh.2022.982335. eCollection 2022.
6
Awareness and Attitude Toward Artificial Intelligence Among Medical Students and Pathology Trainees: Survey Study.医学生和病理学实习生对人工智能的认知与态度:调查研究
JMIR Med Educ. 2025 Jan 10;11:e62669. doi: 10.2196/62669.
7
Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey.英国医学生对人工智能与放射学的态度和认知:一项多中心调查
Insights Imaging. 2020 Feb 5;11(1):14. doi: 10.1186/s13244-019-0830-7.
8
Attitudes and Perceptions of Australian Dentists and Dental Students Towards Applications of Artificial Intelligence in Dentistry: A Survey.澳大利亚牙医和牙科学生对人工智能在牙科领域应用的态度与认知:一项调查
Eur J Dent Educ. 2025 Feb;29(1):9-18. doi: 10.1111/eje.13042. Epub 2024 Sep 28.
9
Attitudes of optometrists towards artificial intelligence for the diagnosis of retinal disease: A cross-sectional mail-out survey.验光师对用于视网膜疾病诊断的人工智能的态度:一项横断面邮寄问卷调查。
Ophthalmic Physiol Opt. 2022 Nov;42(6):1170-1179. doi: 10.1111/opo.13034. Epub 2022 Aug 4.
10
Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers.美在观察者的人工智能之中:我们是否准备好将人工智能临床整合到放射成像中?对英国放射技师的人工智能知识、技能、信心和教育观点的探索性分析。
Front Digit Health. 2021 Nov 11;3:739327. doi: 10.3389/fdgth.2021.739327. eCollection 2021.

本文引用的文献

1
Applications of Artificial Intelligence in Ophthalmology: Glaucoma, Cornea, and Oculoplastics.人工智能在眼科中的应用:青光眼、角膜和眼整形学。
Cureus. 2024 Nov 12;16(11):e73522. doi: 10.7759/cureus.73522. eCollection 2024 Nov.
2
Role of Artificial Intelligence and Machine Learning in Facial Aesthetic Surgery: A Systematic Review.人工智能和机器学习在面部美容外科中的作用:系统评价。
Facial Plast Surg Aesthet Med. 2024 Nov-Dec;26(6):679-705. doi: 10.1089/fpsam.2024.0204.
3
Application of artificial intelligence in oculoplastics.
人工智能在眼眶整形外科学中的应用。
Clin Dermatol. 2024 May-Jun;42(3):259-267. doi: 10.1016/j.clindermatol.2023.12.019. Epub 2024 Jan 4.
4
Surgeons' perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey.外科医生对人工智能在创伤和急诊环境中支持临床决策的看法:一项国际调查的结果。
World J Emerg Surg. 2023 Jan 3;18(1):1. doi: 10.1186/s13017-022-00467-3.
5
Orbital and eyelid diseases: The next breakthrough in artificial intelligence?眼眶及眼睑疾病:人工智能的下一个突破?
Front Cell Dev Biol. 2022 Nov 18;10:1069248. doi: 10.3389/fcell.2022.1069248. eCollection 2022.
6
The use and future perspective of Artificial Intelligence-A survey among German surgeons.人工智能的使用和未来展望——一项针对德国外科医生的调查。
Front Public Health. 2022 Oct 5;10:982335. doi: 10.3389/fpubh.2022.982335. eCollection 2022.
7
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor.深度学习技术在诊断鼻部或鼻旁窦肿瘤患者 CT 上眼眶侵犯中的应用。
Cancer Imaging. 2022 Sep 22;22(1):52. doi: 10.1186/s40644-022-00492-0.
8
A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.一种结合多模态放射组学、临床和影像学特征的深度学习模型,用于鉴别眼附属器淋巴瘤与特发性眼眶炎症。
Eur Radiol. 2022 Oct;32(10):6922-6932. doi: 10.1007/s00330-022-08857-6. Epub 2022 Jun 8.
9
Artificial intelligence to detect malignant eyelid tumors from photographic images.利用人工智能从摄影图像中检测恶性眼睑肿瘤。
NPJ Digit Med. 2022 Mar 2;5(1):23. doi: 10.1038/s41746-022-00571-3.
10
Machine Learning Based Non-Enhanced CT Radiomics for the Identification of Orbital Cavernous Venous Malformations: An Innovative Tool.基于机器学习的非增强 CT 放射组学在眼眶海绵状静脉畸形识别中的应用:一种创新工具。
J Craniofac Surg. 2022 May 1;33(3):814-820. doi: 10.1097/SCS.0000000000008446. Epub 2022 Jan 12.