Integrating telepathology and digital pathology with artificial intelligence: An inevitable future

Detalhes bibliográficos
Autor(a) principal: Battazza, Alexandre [UNESP]
Data de Publicação: 2024
Outros Autores: da Silva Brasileiro, Felipe César [UNESP], Tasaka, Ana Cristina, Bulla, Camilo, Ximenes, Pedro Pol [UNESP], Hosomi, Juliana Emi [UNESP], da Silva, Patricia Fernanda [UNESP], da Silva, Larissa Freire [UNESP], de Moura, Fernanda Barthelson Carvalho [UNESP], Rocha, Noeme Sousa [UNESP]
Tipo de documento: Outros
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.14202/vetworld.2024.1667-1671
https://hdl.handle.net/11449/301743
Resumo: Telepathology and digital pathology, enhanced with artificial intelligence (AI), represent groundbreaking technology advancements. These entities offer information exchange, enhanced teaching and research, and automated diagnosis with high precision through a computerized approach. Machine learning in pathology shows promise for both human and veterinary medicine, yielding favorable results and in some cases, surpassing the accuracy of human pathologists. This study aimed to highlight the significance of integrated AI with telepathology and digital pathology, outlining both its advantages and limitations while emphasizing the crucial role of pathologists in its implementation. A literature review was conducted to uncover publications and data on telepathology and AI, and their implementation in human and veterinary medicine. This approach has facilitated information exchange, enhancing both teaching and research. In addition, it facilitates the creation of innovative methods and offers more precise patient diagnoses, adhering to ethical and legal standards. This study delivers valuable and comparable data on telepathology, digital pathology, and AI integration. Given the continually emerging nature of these technologies, further studies are essential for their application to human and veterinary medicine.
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spelling Integrating telepathology and digital pathology with artificial intelligence: An inevitable futureartificial intelligencediagnosistelepathologyTelepathology and digital pathology, enhanced with artificial intelligence (AI), represent groundbreaking technology advancements. These entities offer information exchange, enhanced teaching and research, and automated diagnosis with high precision through a computerized approach. Machine learning in pathology shows promise for both human and veterinary medicine, yielding favorable results and in some cases, surpassing the accuracy of human pathologists. This study aimed to highlight the significance of integrated AI with telepathology and digital pathology, outlining both its advantages and limitations while emphasizing the crucial role of pathologists in its implementation. A literature review was conducted to uncover publications and data on telepathology and AI, and their implementation in human and veterinary medicine. This approach has facilitated information exchange, enhancing both teaching and research. In addition, it facilitates the creation of innovative methods and offers more precise patient diagnoses, adhering to ethical and legal standards. This study delivers valuable and comparable data on telepathology, digital pathology, and AI integration. Given the continually emerging nature of these technologies, further studies are essential for their application to human and veterinary medicine.Universidade Estadual PaulistaDepartment of Pathology Faculty of Medicine of Botucatu Sao Paulo State University (UNESP)Department of Veterinary Clinic School of Veterinary Medicine and Animal Science São Paulo State UniversityDepartment of Animal Science Universidade PaulistaUniversidade Municipal de São Caetano do SulDepartment of Pathobiology College of Veterinary Medicine Mississippi State UniversityDepartment of Pathology Faculty of Medicine of Botucatu Sao Paulo State University (UNESP)Department of Veterinary Clinic School of Veterinary Medicine and Animal Science São Paulo State UniversityUniversidade Estadual Paulista (UNESP)Universidade PaulistaUniversidade Municipal de São Caetano do SulMississippi State UniversityBattazza, Alexandre [UNESP]da Silva Brasileiro, Felipe César [UNESP]Tasaka, Ana CristinaBulla, CamiloXimenes, Pedro Pol [UNESP]Hosomi, Juliana Emi [UNESP]da Silva, Patricia Fernanda [UNESP]da Silva, Larissa Freire [UNESP]de Moura, Fernanda Barthelson Carvalho [UNESP]Rocha, Noeme Sousa [UNESP]2025-04-29T18:59:11Z2024-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/other1667-1671http://dx.doi.org/10.14202/vetworld.2024.1667-1671Veterinary World, v. 17, n. 8, p. 1667-1671, 2024.2231-09160972-8988https://hdl.handle.net/11449/30174310.14202/vetworld.2024.1667-16712-s2.0-85201148861Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengVeterinary Worldinfo:eu-repo/semantics/openAccess2025-04-30T13:42:42Zoai:repositorio.unesp.br:11449/301743Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-04-30T13:42:42Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Integrating telepathology and digital pathology with artificial intelligence: An inevitable future
title Integrating telepathology and digital pathology with artificial intelligence: An inevitable future
spellingShingle Integrating telepathology and digital pathology with artificial intelligence: An inevitable future
Battazza, Alexandre [UNESP]
artificial intelligence
diagnosis
telepathology
title_short Integrating telepathology and digital pathology with artificial intelligence: An inevitable future
title_full Integrating telepathology and digital pathology with artificial intelligence: An inevitable future
title_fullStr Integrating telepathology and digital pathology with artificial intelligence: An inevitable future
title_full_unstemmed Integrating telepathology and digital pathology with artificial intelligence: An inevitable future
title_sort Integrating telepathology and digital pathology with artificial intelligence: An inevitable future
author Battazza, Alexandre [UNESP]
author_facet Battazza, Alexandre [UNESP]
da Silva Brasileiro, Felipe César [UNESP]
Tasaka, Ana Cristina
Bulla, Camilo
Ximenes, Pedro Pol [UNESP]
Hosomi, Juliana Emi [UNESP]
da Silva, Patricia Fernanda [UNESP]
da Silva, Larissa Freire [UNESP]
de Moura, Fernanda Barthelson Carvalho [UNESP]
Rocha, Noeme Sousa [UNESP]
author_role author
author2 da Silva Brasileiro, Felipe César [UNESP]
Tasaka, Ana Cristina
Bulla, Camilo
Ximenes, Pedro Pol [UNESP]
Hosomi, Juliana Emi [UNESP]
da Silva, Patricia Fernanda [UNESP]
da Silva, Larissa Freire [UNESP]
de Moura, Fernanda Barthelson Carvalho [UNESP]
Rocha, Noeme Sousa [UNESP]
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Paulista
Universidade Municipal de São Caetano do Sul
Mississippi State University
dc.contributor.author.fl_str_mv Battazza, Alexandre [UNESP]
da Silva Brasileiro, Felipe César [UNESP]
Tasaka, Ana Cristina
Bulla, Camilo
Ximenes, Pedro Pol [UNESP]
Hosomi, Juliana Emi [UNESP]
da Silva, Patricia Fernanda [UNESP]
da Silva, Larissa Freire [UNESP]
de Moura, Fernanda Barthelson Carvalho [UNESP]
Rocha, Noeme Sousa [UNESP]
dc.subject.por.fl_str_mv artificial intelligence
diagnosis
telepathology
topic artificial intelligence
diagnosis
telepathology
description Telepathology and digital pathology, enhanced with artificial intelligence (AI), represent groundbreaking technology advancements. These entities offer information exchange, enhanced teaching and research, and automated diagnosis with high precision through a computerized approach. Machine learning in pathology shows promise for both human and veterinary medicine, yielding favorable results and in some cases, surpassing the accuracy of human pathologists. This study aimed to highlight the significance of integrated AI with telepathology and digital pathology, outlining both its advantages and limitations while emphasizing the crucial role of pathologists in its implementation. A literature review was conducted to uncover publications and data on telepathology and AI, and their implementation in human and veterinary medicine. This approach has facilitated information exchange, enhancing both teaching and research. In addition, it facilitates the creation of innovative methods and offers more precise patient diagnoses, adhering to ethical and legal standards. This study delivers valuable and comparable data on telepathology, digital pathology, and AI integration. Given the continually emerging nature of these technologies, further studies are essential for their application to human and veterinary medicine.
publishDate 2024
dc.date.none.fl_str_mv 2024-08-01
2025-04-29T18:59:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/other
format other
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.14202/vetworld.2024.1667-1671
Veterinary World, v. 17, n. 8, p. 1667-1671, 2024.
2231-0916
0972-8988
https://hdl.handle.net/11449/301743
10.14202/vetworld.2024.1667-1671
2-s2.0-85201148861
url http://dx.doi.org/10.14202/vetworld.2024.1667-1671
https://hdl.handle.net/11449/301743
identifier_str_mv Veterinary World, v. 17, n. 8, p. 1667-1671, 2024.
2231-0916
0972-8988
10.14202/vetworld.2024.1667-1671
2-s2.0-85201148861
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Veterinary World
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1667-1671
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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