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Successful deployment of an Artificial Intelligence solution for primary diagnosis of prostate biopsies in clinical practice 在临床实践中成功部署用于前列腺活检初级诊断的人工智能解决方案
Trillium Pathology Pub Date : 2023-06-01 DOI: 10.47184/tp.2023.01.03
Muhammad Aslam, Alistair Heath
{"title":"Successful deployment of an Artificial Intelligence solution for primary diagnosis of prostate biopsies in clinical practice","authors":"Muhammad Aslam, Alistair Heath","doi":"10.47184/tp.2023.01.03","DOIUrl":"https://doi.org/10.47184/tp.2023.01.03","url":null,"abstract":"In order to evaluate the feasibility of artificial intelligence within the setting of prostate histopathology, 3975 slides from 860 patients were digitally scanned and supplied to the IBEX-Artificial Intelligence (AI) system before evaluation by histopathology consultants with recommendations from the AI. Data comparing reporting with and without AI assistance were analysed along with accuracy of diagnosis for the AI. Request rates for additional immunohistochemistry from consultants in cases of diagnostic uncertainty dropped from 8.7 % to 4.5 %. Qualitative reporting confidence increased with AI assistance and valued the highlighting of the most suspicious areas within a biopsy. Positive and negative predictive values for the AI were 0.994 and 0.995 when using the consultants’ diagnosis as the true value. AI shows significant potential as an assistant for histopathologists in the field of cancer diagnosis.","PeriodicalId":126763,"journal":{"name":"Trillium Pathology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126817950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Computational pathology for nephropathology 肾脏病理学的计算病理学
Trillium Pathology Pub Date : 2023-06-01 DOI: 10.47184/tp.2023.01.02
R. D. Bülow
{"title":"Computational pathology for nephropathology","authors":"R. D. Bülow","doi":"10.47184/tp.2023.01.02","DOIUrl":"https://doi.org/10.47184/tp.2023.01.02","url":null,"abstract":"Digitisation of pathology enables computational pathology. Due to their excellent performance, deep learning-based systems are used primarily. In computational nephropathology, the focus of many studies is on large-scale extraction of comprehensible quantitative data from histological structures. The resulting data can be used for various downstream analyses, including prediction of the disease course. Such systems could significantly support nephropathological diagnostics in the future.","PeriodicalId":126763,"journal":{"name":"Trillium Pathology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123521579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Molecular pathological analysis in routine diagnostic 分子病理分析在常规诊断中的应用
Trillium Pathology Pub Date : 2023-06-01 DOI: 10.47184/tp.2023.01.06
N. Pfarr
{"title":"Molecular pathological analysis in routine diagnostic","authors":"N. Pfarr","doi":"10.47184/tp.2023.01.06","DOIUrl":"https://doi.org/10.47184/tp.2023.01.06","url":null,"abstract":"Molecular pathological examinations in the context of diagnostic analyses of tumour samples cover a broad spectrum of techniques for routine diagnostics. Especially in the last few years, there has been an increase in a large number of new biomarkers, the investigation of which is of great importance for therapy decision but also for accurate diagnosis. At the same time, the available amount of tissue is getting more and more limited due to different reasons: 1. The change in surgical procedure from large resections to tiny little biopsies; 2. The increasing number of markers which has to be tested on this limited material, e. g. by immunohistochemical stainings.","PeriodicalId":126763,"journal":{"name":"Trillium Pathology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124030307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep-learning-based interpretability and the ExaMode project in histopathology image analysis 组织病理学图像分析中基于深度学习的可解释性和ExaMode项目
Trillium Pathology Pub Date : 2023-06-01 DOI: 10.47184/tp.2023.01.05
Henning Müller, M. Atzori
{"title":"Deep-learning-based interpretability and the ExaMode project in histopathology image analysis","authors":"Henning Müller, M. Atzori","doi":"10.47184/tp.2023.01.05","DOIUrl":"https://doi.org/10.47184/tp.2023.01.05","url":null,"abstract":"With digital clinical workflows in histopathology departments, the possibility to use machine-learning-based decision support is increasing. Still, there are many challenges despite often good results on retrospective data. Explainable AI can help to find bias in data and also integrated decision support with other available clinical data. The ExaMode project has implemented many tools and automatic pipelines for such decision support. Most of the algorithms are available for research use and can thus be of help for other researchers in the domain.","PeriodicalId":126763,"journal":{"name":"Trillium Pathology","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133450160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
What happened in Digital and Computational Pathology at the European Congress of Pathology, Basel, 2022? 在2022年巴塞尔的欧洲病理学大会上，数字和计算病理学发生了什么?
Trillium Pathology Pub Date : 2023-06-01 DOI: 10.47184/tp.2023.01.04
I. Zlobec, A. Polónia, D. Treanor, J. A. van der Laak
{"title":"What happened in Digital and Computational Pathology at the European Congress of Pathology, Basel, 2022?","authors":"I. Zlobec, A. Polónia, D. Treanor, J. A. van der Laak","doi":"10.47184/tp.2023.01.04","DOIUrl":"https://doi.org/10.47184/tp.2023.01.04","url":null,"abstract":"The WG Digital & Computational Pathology, formerly called the WG IT (Computational) enjoyed an active presence at the 34th European Congress of Pathology (ECP) 2022 in Basel. Whether tackling the important question of “AI: useful or useless” in different disease entities, to a live demonstration of “AI in the wild” during the hugely popular Computational One-Day Symposium, or discussing critical aspects of quality management and ethics at the AI Taskforce meeting, the presence of digital and computational pathology could certainly be felt. Importantly, abstracts for poster sessions and oral free papers were abundant, highlighting the increasing relevance and interest of these topics for pathologists across Europe and beyond. Here, we give a short report on the activities connected to digital & computational pathology at the ECP.","PeriodicalId":126763,"journal":{"name":"Trillium Pathology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127256142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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