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Teaching digital pathology: The international school of digital pathology and proposed syllabus
Journal of Pathology Informatics, 2017 Digital pathology is an interdisciplinary field where competency in pathology, laboratory techniques, informatics, computer science, information systems, engineering, and even biology converge.
Vincenzo Della Mea +19 more
doaj +7 more sources
Survey of XAI in Digital Pathology [PDF]
, 2020 Artificial intelligence (AI) has shown great promise for diagnostic imaging assessments. However, the application of AI to support medical diagnostics in clinical routine comes with many challenges. The algorithms should have high prediction accuracy but also be transparent, understandable and reliable.
Milda Poceviciute +2 more
openaire +4 more sources
Ugeskrift for LægerDigital transformation of pathology is a necessary but resource-intensive investment. In Denmark, pathology departments in four out of five regions have already implemented digital pathology, with the fifth expected to follow by 2027. Digital pathology is patient-safe and offers significant advantages, including more efficient diagnostics.
Christian Beltoft, Brøchner +9 more
core +4 more sources
The ethical challenges of artificial intelligence‐driven digital pathology [PDF]
The Journal of Pathology: Clinical Research, 2022 Digital pathology – the digitalisation of clinical histopathology services through the scanning and storage of pathology slides – has opened up new possibilities for health care in recent years, particularly in the opportunities it brings for artificial ...
Francis McKay +5 more
doaj +2 more sources
From Microscopes to Monitors: Unique Opportunities and Challenges in Digital Pathology Implementation in Remote Canadian Regions [PDF]
DiagnosticsBackground/Objectives: Digital pathology has the potential to revolutionize pathology diagnostics, especially in geo-graphically isolated and underserved regions.
Miquela Daniel +12 more
doaj +2 more sources
Explainability and causability in digital pathology
The Journal of Pathology: Clinical Research, 2023 The current move towards digital pathology enables pathologists to use artificial intelligence (AI)‐based computer programmes for the advanced analysis of whole slide images.
M. Plass +9 more
semanticscholar +4 more sources
Digital transformation of pathology - the European Society of Pathology expert opinion paper [PDF]
Virchows ArchivAn expert group mandated by the European Society of Pathology (ESP) outlines its recommendations on the digital transformation of pathology departments, aiming to facilitate the acquisition of resources for better patient care. This statement is directed
C. Eloy +11 more
semanticscholar +2 more sources
Summary of the 4th nordic symposium on digital pathology
Journal of Pathology Informatics, 2017 The Nordic symposium on digital pathology (NDP) was created to promote knowledge exchange across stakeholders in health care, industry, and academia.
Claes Lundström +3 more
doaj +2 more sources
Digital pathology in Latin America [PDF]
Surgical and Experimental Pathology, 2023 Digital pathology (DP) adoption in Latin America has expanded slower than in developed regions, probably due to many barriers not seen in the latter areas.
Hernán García-Rivello +9 more
doaj +2 more sources
ChatGPT for digital pathology research
The Lancet Digital HealthThe rapid evolution of generative artificial intelligence (AI) models including OpenAI’s ChatGPT signals a promising era for medical research. In this Viewpoint, we explore the integration and challenges of large language models (LLMs) in digital ...
Mohamed Omar +4 more
semanticscholar +3 more sources