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Irish Journal of Medical Science (1971 -)

Erschienen in:

05.08.2023 | Review Article

Artificial Intelligence in pathology: current applications, limitations, and future directions

verfasst von: Akhil Sajithkumar, Jubin Thomas, Ajish Meprathumalil Saji, Fousiya Ali, Haneena Hasin E.K, Hannan Abdul Gafoor Adampulan, Swathy Sarathchand

Erschienen in: Irish Journal of Medical Science (1971 -) | Ausgabe 2/2024

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Abstract

Purpose

Given AI's recent success in computer vision applications, majority of pathologists anticipate that it will be able to assist them with a variety of digital pathology activities. Massive improvements in deep learning have enabled a synergy between Artificial Intelligence (AI) and deep learning, enabling image-based diagnosis against the backdrop of digital pathology. AI-based solutions are being developed to eliminate errors and save pathologists time.

Aims

In this paper, we will discuss the components that went into the use of Artificial Intelligence in Pathology, its use in the medical profession, the obstacles and constraints that it encounters, and the future possibilities of AI in the medical field.

Conclusions

Based on these factors, we elaborate upon the use of AI in medical pathology and provide future recommendations for its successful implementation in this field.

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Titel: Artificial Intelligence in pathology: current applications, limitations, and future directions
verfasst von: Akhil Sajithkumar
Jubin Thomas
Ajish Meprathumalil Saji
Fousiya Ali
Haneena Hasin E.K
Hannan Abdul Gafoor Adampulan
Swathy Sarathchand
Publikationsdatum: 05.08.2023
Verlag: Springer International Publishing
Erschienen in: Irish Journal of Medical Science (1971 -) / Ausgabe 2/2024
Print ISSN: 0021-1265
Elektronische ISSN: 1863-4362
DOI: https://doi.org/10.1007/s11845-023-03479-3

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Artificial Intelligence in pathology: current applications, limitations, and future directions

Abstract

Purpose

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Conclusions

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