自然语言处理在肾移植中的应用与发展综述。

IF 0.8 4区医学 Q4 IMMUNOLOGY

Transplantation proceedings Pub Date : 2025-03-16 DOI:10.1016/j.transproceed.2025.02.027

René Gatsinga , Rachel Shu-En Lau , Benjamin Jia Han Lim , Khi Yung Fong , Marc Zhen Guo Yeong , Amber Hwa Hwa Chung , Lay Guat Ng , Edwin Jonathan Aslim , Valerie Huei Li Gan , Ee Jean Lim

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引用次数: 0

摘要

背景与目的：自然语言处理（NLP）是人工智能的一个子领域，它使计算机能够处理人类语言。由于当今大多数人类互动都涉及互联网和电子设备，NLP工具迅速成为现代生活中不可或缺的工具。NLP工具在医疗实践和研究中的应用正在快速增长。这篇综述评估了NLP在肾移植医学中的当前和潜在的未来应用。设计：我们在PubMed， EMBASE和Scopus上对肾移植背景下的NLP进行了从成立到2024年8月26日的电子文献检索。两名独立调查员执行了检索策略，并审查了摘要和全文；在与第三和第四作者讨论后，冲突得以解决。本研究共纳入10项研究。结果：NLP在肾移植中最常被研究的临床应用是作为辅助工具，促进肾脏疾病的早期诊断，并作为肾移植受者移植损失和并发症的有效预测指标。一些研究人员能够通过分析捐赠者的电子病历来预测器官延迟植入或丢弃的风险；这有可能显著提高器官利用率。在临床研究中，NLP工具可以针对非结构化文本执行感兴趣的特定任务。通过研究来自社交媒体和新闻网站的评论，该小组能够评估公众对移植政策的看法，并确定改善移植护理的潜在行动。结论：NLP工具最近才被引入医学研究，但它们已经对肾移植医学产生了重大影响。这些文献显示了改善肾功能衰竭早期诊断、预测肾移植结果、提高器官利用率以及支持宣传和政策制定的潜力。随着电子病历在全球范围内的广泛使用和NLP技术的不断发展，这些工具有望彻底改变肾移植的实践。

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Current Applications and Developments of Natural Language Processing in Kidney Transplantation: A Scoping Review

Background and Objective

Natural language processing (NLP) is a subfield of artificial intelligence that enables computers to process human language. As most human interactions today involve the internet and electronic devices, NLP tools quickly become indispensable to modern life. The use of NLP tools in medical practice and research is growing fast. This scoping review evaluates the current and potential future applications of NLP in kidney transplantation medicine.

Design

We conducted an electronic literature search on NLP in the setting of kidney transplantation on PubMed, EMBASE, and Scopus from inception to August 26, 2024. Two independent investigators conducted the search strategy and reviewed abstracts and full texts; conflicts were resolved after discussion with a third and fourth author. A total of ten studies were included in the study.

Results

The most commonly studied clinical applications of NLP in kidney transplantation are its use as an adjunct tool to facilitate early diagnosis of renal disease and as an effective predictor of graft loss and complications among kidney transplant recipients. Some researchers were able to predict organs at risk of delayed implant or discard by analyzing donors’ EHR; this has the potential to improve organ utilization significantly. In clinical research, NLP tools can be tailored to perform specific tasks of interest on unstructured text. By studying n comments from social media and news websites, 1 group was able to gauge public perception of transplant policies and identify potential actions to improve access to transplant care.

Conclusions

NLP tools have only recently been introduced into medical research, but they are already significantly impacting kidney transplantation medicine. The literature demonstrates the potential to improve early diagnosis of renal failure, predict renal transplantation outcomes, improve organ utilization, and support advocacy and policymaking. With more widespread use of EHR globally and the continued development of NLP technology, these tools are poised to revolutionize the practice of renal transplantation.

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来源期刊

Transplantation proceedings 医学-免疫学

CiteScore

1.70

自引率

0.00%

发文量

502

审稿时长

60 days

期刊介绍： Transplantation Proceedings publishes several different categories of manuscripts, all of which undergo extensive peer review by recognized authorities in the field prior to their acceptance for publication. The first type of manuscripts consists of sets of papers providing an in-depth expression of the current state of the art in various rapidly developing components of world transplantation biology and medicine. These manuscripts emanate from congresses of the affiliated transplantation societies, from Symposia sponsored by the Societies, as well as special Conferences and Workshops covering related topics. Transplantation Proceedings also publishes several special sections including publication of Clinical Transplantation Proceedings, being rapid original contributions of preclinical and clinical experiences. These manuscripts undergo review by members of the Editorial Board. Original basic or clinical science articles, clinical trials and case studies can be submitted to the journal?s open access companion title Transplantation Reports.