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Review
. 2024 Dec;16(Suppl 5):S4226-S4229.
doi: 10.4103/jpbs.jpbs_727_24. Epub 2025 Jan 30.

Artificial Intelligence in Histopathology

Prathibha Prasad  1   2   3 , Al Moutassem Billah Khair  1   2 , Musab Saeed  2   4 , Naresh Shetty  2   4
Affiliations
Review

Artificial Intelligence in Histopathology

Prathibha Prasad et al. J Pharm Bioallied Sci. 2024 Dec.

Abstract

Artificial intelligence will be revolutionizing the healthcare in near future and is already being integrated in several areas. The utilization of artificial intelligence algorithms to extract quantitative information from full-slide histopathology images has been demonstrated in digital pathology. Artificial intelligence (AI) is anticipated to reduce the workload of pathologists, enhance the impartiality and uniformity of pathology reports, and impact treatment choices through the identification of concealed information within easily accessible data. This review sheds light on how deep learning and machine learning can enhance the imaging of the slides in digital pathology and help physicians make the diagnosis faster.

Keywords: AI; imaging; pathology.

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Conflict of interest statement

There are no conflicts of interest.

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