Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology

Tissue Biomarkers are information written in the tissue and used in Pathology to recognize specific subsets of patients with diagnostic, prognostic or predictive purposes, thus representing the key elements of Personalized Medicine. The advent of Artificial Intelligence (AI) promises to further rein...

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Autores principales: Lancellotti, Cesare, Cancian, Pierandrea, Savevski, Victor, Kotha, Soumya Rupa Reddy, Fraggetta, Filippo, Graziano, Paolo, Di Tommaso, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066881/
https://www.ncbi.nlm.nih.gov/pubmed/33918173
http://dx.doi.org/10.3390/cells10040787
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author Lancellotti, Cesare
Cancian, Pierandrea
Savevski, Victor
Kotha, Soumya Rupa Reddy
Fraggetta, Filippo
Graziano, Paolo
Di Tommaso, Luca
author_facet Lancellotti, Cesare
Cancian, Pierandrea
Savevski, Victor
Kotha, Soumya Rupa Reddy
Fraggetta, Filippo
Graziano, Paolo
Di Tommaso, Luca
author_sort Lancellotti, Cesare
collection PubMed
description Tissue Biomarkers are information written in the tissue and used in Pathology to recognize specific subsets of patients with diagnostic, prognostic or predictive purposes, thus representing the key elements of Personalized Medicine. The advent of Artificial Intelligence (AI) promises to further reinforce the role of Pathology in the scenario of Personalized Medicine: AI-based devices are expected to standardize the evaluation of tissue biomarkers and also to discover novel information, which would otherwise be ignored by human review, and use them to make specific predictions. In this review we will present how AI has been used to support Tissue Biomarkers evaluation in the specific field of Pathology, give an insight to the intriguing field of AI-based biomarkers and discuss possible advantages, risk and perspectives for Pathology.
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spelling pubmed-80668812021-04-25 Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology Lancellotti, Cesare Cancian, Pierandrea Savevski, Victor Kotha, Soumya Rupa Reddy Fraggetta, Filippo Graziano, Paolo Di Tommaso, Luca Cells Review Tissue Biomarkers are information written in the tissue and used in Pathology to recognize specific subsets of patients with diagnostic, prognostic or predictive purposes, thus representing the key elements of Personalized Medicine. The advent of Artificial Intelligence (AI) promises to further reinforce the role of Pathology in the scenario of Personalized Medicine: AI-based devices are expected to standardize the evaluation of tissue biomarkers and also to discover novel information, which would otherwise be ignored by human review, and use them to make specific predictions. In this review we will present how AI has been used to support Tissue Biomarkers evaluation in the specific field of Pathology, give an insight to the intriguing field of AI-based biomarkers and discuss possible advantages, risk and perspectives for Pathology. MDPI 2021-04-02 /pmc/articles/PMC8066881/ /pubmed/33918173 http://dx.doi.org/10.3390/cells10040787 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 Review
Lancellotti, Cesare
Cancian, Pierandrea
Savevski, Victor
Kotha, Soumya Rupa Reddy
Fraggetta, Filippo
Graziano, Paolo
Di Tommaso, Luca
Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology
title Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology
title_full Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology
title_fullStr Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology
title_full_unstemmed Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology
title_short Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology
title_sort artificial intelligence & tissue biomarkers: advantages, risks and perspectives for pathology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066881/
https://www.ncbi.nlm.nih.gov/pubmed/33918173
http://dx.doi.org/10.3390/cells10040787
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