Mini Review

Year : 2023 | Volume : 12 | Issue : 1 | Page : 34-39

USE OF ARTIFICIAL INTELLIGENCE IN HISTOPATHOLOGICAL INTERPRETATION - A MINI-REVIEW

Karthikeyan Ramalingam

Professor and Head, Oral Pathology and Microbiology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India

Address for Correspondence:

Dr. Karthikeyan Ramalingam,

Professor and Head, Oral Pathology and Microbiology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India.

Email ID: karthikeyanr.sdc@saveetha.com

ORCID ID - http://orcid.org/0000-0003-1921-8336

Abstract

The accuracy of artificial intelligence (AI) in medicine, particularly pathology, has improved significantly, but little is known about how much these algorithms will influence pathologists' decisions in practice.

Most developing-country laboratories lack resources such as whole-slide scanning and digital microscopes. They are unable to manage massive volumes of data due to severe budgetary restrictions and a lack of resources. Because of these limitations, valuable data cannot be kept or used appropriately.

This review attempts to describe the role of AI in histopathological interpretation.

Keywords: Artificial intelligence, AI, Pathology, Histopathology, Interpretation

Financial support and sponsorship:

Nil

Conflicts of interest

There are no conflicts of interest

How to Cite this article: Karthikeyan Ramalingam. (2023). USE OF ARTIFICIAL INTELLIGENCE IN HISTOPATHOLOGICAL INTERPRETATION - A MINI REVIEW. International Journal of Histopathological Interpretation, 12(1), 34–39. https://doi.org/10.56501/intjhistopatholinterpret.v12i1.88