Artificial intelligence & tissue biomarkers: Advantages, risks and perspectives for pathology

37Citations
Citations of this article
101Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Lancellotti, C., Cancian, P., Savevski, V., Kotha, S. R. R., Fraggetta, F., Graziano, P., & Tommaso, L. D. (2021, April 1). Artificial intelligence & tissue biomarkers: Advantages, risks and perspectives for pathology. Cells. MDPI. https://doi.org/10.3390/cells10040787

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free