Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative-Reference-Cited by-同舟云学术

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Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative

Published:2024-12 Issue: Volume:15 Page:100387
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:Journal of Pathology Informatics

Author:

Zerbe Norman,Schwen Lars Ole,Geißler Christian,Wiesemann Katja,Bisson Tom,Boor Peter,Carvalho Rita,Franz Michael,Jansen Christoph,Kiehl Tim-Rasmus,Lindequist Björn,Pohlan Nora Charlotte,Schmell Sarah,Strohmenger Klaus,Zakrzewski Falk,Plass Markus,Takla Michael,Küster Tobias,Homeyer André,Hufnagl Peter

Publisher

Elsevier BV

Reference42 articles.

1. Evolution of anatomic pathology workload from 2011 to 2019 assessed in a regional hospital laboratory via 574,093 pathology reports;Bonert;PLoS One,2021

2. Individualized medicine and demographic change as determining workload factors in pathology: quo vadis?;Warth;Virchows Arch,2016

3. P30 declining staff numbers and increasing workload: is there a solution?;Wolfe;Br J Dermatol,2023

4. The pathologist workforce in the United States: II. An interactive modeling tool for analyzing future qualitative and quantitative staffing demands for services;Robboy;Arch Pathol Lab Med,2015

5. Trends in the US and Canadian pathologist workforces from 2007 to 2017;Metter;JAMA Netw Open,2019

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