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Open Access Article

International Journal of Medicine and Data. 2022; 6: (7) ; 168-171 ; DOI: 10.12208/j.ijmd.20220321.

Development and application of digital pathology
数字病理的发展及应用

作者: 陈吾科 *

广州安必平医药科技股份有限公司 广东广州

*通讯作者: 陈吾科,单位:广州安必平医药科技股份有限公司 广东广州;

发布时间: 2022-12-30 总浏览量: 526

摘要

如今,数字病理改变了传统病理工作模式,实现了病理大变革,为精准诊断提供了更多临床决策依据,为病理发展必然趋势。随着计算机和网络技术的进步,数字病理经过3个发展阶段,从数字扫描设备,到病理云平台,至人工智能辅助诊断,不断推动了精准诊断新发展。数字病理在临床应用越来越广泛,目前三大主要应用为病理科室管理、病理远程会诊、病理人工智能,其中病理远程会诊为最广泛成熟的领域,可实现病理科室规范化管理,大幅度减少病理医生的工作量,提高临床病理诊断的准确率和效率,提高基层医院病理诊断水平等。数字病理是一项新型技术,还存在一定的挑战,需要不断完善。本文阐述了数字病理的发展阶段、应用情况、面临的挑战,并提出未来发展前景与展望。

关键词: 数字病理;病理科室管理;远程会诊;人工智能

Abstract

Nowadays, digital pathology has changed the traditional working mode of pathology, achieved a great transformation of pathology, and provided more clinical decision-making basis for accurate diagnosis, which is an inevitable trend in the development of pathology. With the progress of computer and network technology, digital pathology has gone through three stages of development, from digital scanning equipment, to pathology cloud platform, and then to AI-assisted diagnosis, constantly promoting the new development of accurate diagnosis. At present, the three main applications of digital pathology are pathology department management, pathological remote consultation and pathological artificial intelligence, which can realize the standardized management of pathology department, greatly shorten the workload of pathologists, improve the accuracy and efficiency of clinical pathological diagnosis, and improve the level of pathological diagnosis in grassroots hospitals. Among them, pathological remote consultation is the most extensive and mature field. Digital pathology is a new technology, there are still some challenges, need to improve. This paper describes the development stage, application and challenges of digital pathology, and puts forward the prospect of future development.

Key words: digital pathology; Pathology department management; remote consultation; artificial intelligence

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引用本文

陈吾科, 数字病理的发展及应用[J]. 国际医学与数据杂志, 2022; 6: (7) : 168-171.