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

This commentary aims to address the field of <i>Artificial intelligence</i> (AI) in <i>Digital Pathology</i> (DP) both in terms of the global situation and research perspectives. It has four polarities. <i>First</i>, it revisits the evolutions of digital pathology...

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Main Authors: Maria Rosaria Giovagnoli, Daniele Giansanti
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Healthcare
Subjects:
Online Access:https://www.mdpi.com/2227-9032/9/7/858
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author Maria Rosaria Giovagnoli
Daniele Giansanti
author_facet Maria Rosaria Giovagnoli
Daniele Giansanti
author_sort Maria Rosaria Giovagnoli
collection DOAJ
description This commentary aims to address the field of <i>Artificial intelligence</i> (AI) in <i>Digital Pathology</i> (DP) both in terms of the global situation and research perspectives. It has four polarities. <i>First</i>, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. <i>Second</i>, it illustrates the main fields in the employment of AI in DP. <i>Third</i>, it looks at the future directions of the research challenges from both a clinical and technological point of view. <i>Fourth</i>, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement.
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spelling doaj.art-5d84af4da2944caa970da3e065f680d32023-11-22T03:52:27ZengMDPI AGHealthcare2227-90322021-07-019785810.3390/healthcare9070858Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 1: From the Digital Slide Onwards</i>Maria Rosaria Giovagnoli0Daniele Giansanti1Faculty of Medicine and Psychology, Sapienza University, Piazzale Aldo Moro, 00185 Roma, ItalyCentre Tisp, Istituto Superiore di Sanità, 00161 Roma, ItalyThis commentary aims to address the field of <i>Artificial intelligence</i> (AI) in <i>Digital Pathology</i> (DP) both in terms of the global situation and research perspectives. It has four polarities. <i>First</i>, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. <i>Second</i>, it illustrates the main fields in the employment of AI in DP. <i>Third</i>, it looks at the future directions of the research challenges from both a clinical and technological point of view. <i>Fourth</i>, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement.https://www.mdpi.com/2227-9032/9/7/858e-healthmedical devicesm-healthdigital-pathologypicture archive and communication systemartificial intelligence
spellingShingle Maria Rosaria Giovagnoli
Daniele Giansanti
Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 1: From the Digital Slide Onwards</i>
Healthcare
e-health
medical devices
m-health
digital-pathology
picture archive and communication system
artificial intelligence
title Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 1: From the Digital Slide Onwards</i>
title_full Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 1: From the Digital Slide Onwards</i>
title_fullStr Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 1: From the Digital Slide Onwards</i>
title_full_unstemmed Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 1: From the Digital Slide Onwards</i>
title_short Artificial Intelligence in Digital Pathology: What Is the Future? <i>Part 1: From the Digital Slide Onwards</i>
title_sort artificial intelligence in digital pathology what is the future i part 1 from the digital slide onwards i
topic e-health
medical devices
m-health
digital-pathology
picture archive and communication system
artificial intelligence
url https://www.mdpi.com/2227-9032/9/7/858
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