The digital revolution in veterinary pathology

IF 0.8 4区 农林科学 Q4 PATHOLOGY
Kenneth Ancheta , Sophie Le Calvez , Jonathan Williams
{"title":"The digital revolution in veterinary pathology","authors":"Kenneth Ancheta ,&nbsp;Sophie Le Calvez ,&nbsp;Jonathan Williams","doi":"10.1016/j.jcpa.2024.08.001","DOIUrl":null,"url":null,"abstract":"<div><p>For the past two centuries, the use of traditional light microscopy to examine tissues to make diagnoses has remained relatively unchanged. While the fundamental concept of tissue slide analysis has stayed the same, our interaction with the microscope is undergoing significant changes. Digital pathology (DP) has gained momentum in veterinary science and is on the verge of becoming a vital tool in diagnostics, research and education. Many diagnostic laboratories have incorporated DP as a critical part of their workflows. Innovations in DP and whole slide image technology have made telediagnosis (the process of transmitting digital clinical data using telecommunication networks for distant diagnosis) more accessible, leading to improved patient care through streamlining of workflows and greater accessibility of second opinions. The integration of machine learning and artificial intelligence and human-in-the-loop protocols for DP workflows will further the development of computer-aided diagnosis and prognostic tools. Despite its present weaknesses, DP will progressively aid veterinary clinicians and pathologists in delivering more accurate and reliable diagnoses. Consistent incorporation of DP frontline advancements into routine veterinary diagnostic pipelines will assist in improving current tools and help prepare pathologists for the progression of digitalization in the field.</p></div>","PeriodicalId":15520,"journal":{"name":"Journal of Comparative Pathology","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0021997524002883/pdfft?md5=20c9d4f136102a289296cce0d9b4e46b&pid=1-s2.0-S0021997524002883-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Comparative Pathology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021997524002883","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

For the past two centuries, the use of traditional light microscopy to examine tissues to make diagnoses has remained relatively unchanged. While the fundamental concept of tissue slide analysis has stayed the same, our interaction with the microscope is undergoing significant changes. Digital pathology (DP) has gained momentum in veterinary science and is on the verge of becoming a vital tool in diagnostics, research and education. Many diagnostic laboratories have incorporated DP as a critical part of their workflows. Innovations in DP and whole slide image technology have made telediagnosis (the process of transmitting digital clinical data using telecommunication networks for distant diagnosis) more accessible, leading to improved patient care through streamlining of workflows and greater accessibility of second opinions. The integration of machine learning and artificial intelligence and human-in-the-loop protocols for DP workflows will further the development of computer-aided diagnosis and prognostic tools. Despite its present weaknesses, DP will progressively aid veterinary clinicians and pathologists in delivering more accurate and reliable diagnoses. Consistent incorporation of DP frontline advancements into routine veterinary diagnostic pipelines will assist in improving current tools and help prepare pathologists for the progression of digitalization in the field.

兽医病理学的数字革命。
在过去的两个世纪中,使用传统的光学显微镜检查组织以进行诊断的方法一直保持相对不变。虽然组织切片分析的基本概念保持不变,但我们与显微镜之间的互动正在发生重大变化。数字病理学(DP)在兽医学中的发展势头迅猛,即将成为诊断、研究和教育的重要工具。许多诊断实验室已将 DP 作为其工作流程的重要组成部分。DP和全切片图像技术的创新使远程诊断(利用远程通信网络传输数字临床数据以进行远程诊断的过程)变得更容易获得,从而通过简化工作流程和更容易获得第二意见来改善患者护理。将机器学习、人工智能和人在环协议整合到 DP 工作流程中,将进一步推动计算机辅助诊断和预后工具的发展。尽管 DP 目前还存在不足,但它将逐步帮助兽医临床医生和病理学家提供更准确、更可靠的诊断。将 DP 的前沿进展持续纳入常规兽医诊断流程将有助于改进现有工具,并帮助病理学家为该领域的数字化进程做好准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.60
自引率
0.00%
发文量
208
审稿时长
50 days
期刊介绍: The Journal of Comparative Pathology is an International, English language, peer-reviewed journal which publishes full length articles, short papers and review articles of high scientific quality on all aspects of the pathology of the diseases of domesticated and other vertebrate animals. Articles on human diseases are also included if they present features of special interest when viewed against the general background of vertebrate pathology.
×
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:481959085
Book学术官方微信