Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology.
artificial intelligence
biomarker
pathology
personalized medicine
Journal
Cells
ISSN: 2073-4409
Titre abrégé: Cells
Pays: Switzerland
ID NLM: 101600052
Informations de publication
Date de publication:
02 04 2021
02 04 2021
Historique:
received:
26
02
2021
revised:
30
03
2021
accepted:
31
03
2021
entrez:
30
4
2021
pubmed:
1
5
2021
medline:
25
2
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33918173
pii: cells10040787
doi: 10.3390/cells10040787
pmc: PMC8066881
pii:
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Fondazione Humanitas per la Ricerca
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