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革新眼部癌症管理:探索 ChatGPT 潜在作用的叙述性综述。

Revolutionizing ocular cancer management: a narrative review on exploring the potential role of ChatGPT.

机构信息

Information Systems Department, Umm Al-Qura University, Makkah, Saudi Arabia.

Department of Computer Science, Lahore Leads University, Lahore, Pakistan.

出版信息

Front Public Health. 2023 Dec 15;11:1338215. doi: 10.3389/fpubh.2023.1338215. eCollection 2023.

DOI:10.3389/fpubh.2023.1338215
PMID:38192545
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10773849/
Abstract

This paper pioneers the exploration of ocular cancer, and its management with the help of Artificial Intelligence (AI) technology. Existing literature presents a significant increase in new eye cancer cases in 2023, experiencing a higher incidence rate. Extensive research was conducted using online databases such as PubMed, ACM Digital Library, ScienceDirect, and Springer. To conduct this review, Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines are used. Of the collected 62 studies, only 20 documents met the inclusion criteria. The review study identifies seven ocular cancer types. Important challenges associated with ocular cancer are highlighted, including limited awareness about eye cancer, restricted healthcare access, financial barriers, and insufficient infrastructure support. Financial barriers is one of the widely examined ocular cancer challenges in the literature. The potential role and limitations of ChatGPT are discussed, emphasizing its usefulness in providing general information to physicians, noting its inability to deliver up-to-date information. The paper concludes by presenting the potential future applications of ChatGPT to advance research on ocular cancer globally.

摘要

本文开创性地探索了眼部癌症,并借助人工智能 (AI) 技术对其进行管理。现有文献表明,2023 年新的眼癌病例显著增加,发病率更高。研究人员广泛使用了 PubMed、ACM 数字图书馆、ScienceDirect 和 Springer 等在线数据库进行研究。为了进行这项综述,我们使用了系统评价和荟萃分析的首选报告项目 (PRISMA) 指南。在收集的 62 项研究中,只有 20 份文件符合纳入标准。本综述研究确定了七种眼部癌症类型。研究强调了与眼部癌症相关的重要挑战,包括对眼癌的认识有限、医疗保健获取受限、经济障碍和基础设施支持不足。在文献中,经济障碍是广泛研究的眼部癌症挑战之一。本文还讨论了 ChatGPT 的潜在作用和局限性,强调了它在向医生提供一般信息方面的有用性,并指出其无法提供最新信息。最后,本文提出了 ChatGPT 在全球推进眼部癌症研究方面的潜在未来应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a854/10773849/62aac1815250/fpubh-11-1338215-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a854/10773849/ed11bf8e4111/fpubh-11-1338215-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a854/10773849/62aac1815250/fpubh-11-1338215-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a854/10773849/ed11bf8e4111/fpubh-11-1338215-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a854/10773849/62aac1815250/fpubh-11-1338215-g002.jpg

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本文引用的文献

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Popular large language model chatbots' accuracy, comprehensiveness, and self-awareness in answering ocular symptom queries.流行的大语言模型聊天机器人在回答眼部症状查询时的准确性、全面性和自我意识。
iScience. 2023 Oct 10;26(11):108163. doi: 10.1016/j.isci.2023.108163. eCollection 2023 Nov 17.
2
A comparative study on the knowledge levels of artificial intelligence programs in diagnosing ophthalmic pathologies and intraocular tumors evaluated their superiority and potential utility.一项关于人工智能程序在诊断眼科疾病和眼内肿瘤方面知识水平的比较研究评估了它们的优越性和潜在效用。
Int Ophthalmol. 2023 Dec;43(12):4905-4909. doi: 10.1007/s10792-023-02893-x. Epub 2023 Oct 26.
3
Evaluating the Artificial Intelligence Performance Growth in Ophthalmic Knowledge.
评估眼科知识领域中人工智能性能的增长情况。
Cureus. 2023 Sep 21;15(9):e45700. doi: 10.7759/cureus.45700. eCollection 2023 Sep.
4
Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.人工智能在肿瘤学中的影像分析:全面综述。
Clin Oncol (R Coll Radiol). 2024 Aug;36(8):498-513. doi: 10.1016/j.clon.2023.09.013. Epub 2023 Sep 27.
5
Integrating Artificial Intelligence and Machine Learning Into Cancer Clinical Trials.将人工智能和机器学习融入癌症临床试验中。
Semin Radiat Oncol. 2023 Oct;33(4):386-394. doi: 10.1016/j.semradonc.2023.06.004.
6
What can GPT-4 do for Diagnosing Rare Eye Diseases? A Pilot Study.GPT-4在罕见眼病诊断中能发挥什么作用?一项初步研究。
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