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Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards

This commentary aims to address the field of Artificial intelligence (AI) in Digital Pathology (DP) both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cy...

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Detalles Bibliográficos
Autores principales: Giovagnoli, Maria Rosaria, Giansanti, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304979/
https://www.ncbi.nlm.nih.gov/pubmed/34356236
http://dx.doi.org/10.3390/healthcare9070858
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author Giovagnoli, Maria Rosaria
Giansanti, Daniele
author_facet Giovagnoli, Maria Rosaria
Giansanti, Daniele
author_sort Giovagnoli, Maria Rosaria
collection PubMed
description This commentary aims to address the field of Artificial intelligence (AI) in Digital Pathology (DP) both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. Second, it illustrates the main fields in the employment of AI in DP. Third, it looks at the future directions of the research challenges from both a clinical and technological point of view. Fourth, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement.
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spelling pubmed-83049792021-07-25 Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards Giovagnoli, Maria Rosaria Giansanti, Daniele Healthcare (Basel) Commentary This commentary aims to address the field of Artificial intelligence (AI) in Digital Pathology (DP) both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. Second, it illustrates the main fields in the employment of AI in DP. Third, it looks at the future directions of the research challenges from both a clinical and technological point of view. Fourth, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement. MDPI 2021-07-07 /pmc/articles/PMC8304979/ /pubmed/34356236 http://dx.doi.org/10.3390/healthcare9070858 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Commentary
Giovagnoli, Maria Rosaria
Giansanti, Daniele
Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards
title Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards
title_full Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards
title_fullStr Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards
title_full_unstemmed Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards
title_short Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards
title_sort artificial intelligence in digital pathology: what is the future? part 1: from the digital slide onwards
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304979/
https://www.ncbi.nlm.nih.gov/pubmed/34356236
http://dx.doi.org/10.3390/healthcare9070858
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