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Artificial Intelligence in Diagnostic Pathology

Ravi Prakash Agarwalla

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Indian Journal of Pathology: Research and Practice 13(2):p 55-59, April - June 2024. | DOI: https://doi.org/10.21088/ijprp.2278.148X.13224.2

How Cite This Article:

Ravi Prakash Agarwalla. Artificial Intelligence in Diagnostic Pathology. Ind Jr of Path: Res and Practice 2024;13(2)55–59.

Timeline

Received : February 10, 2023         Accepted : March 25, 2023          Published : March 30, 2023

Abstract

Pathology is the discipline of diagnosing a disease mostly through analysis of tissues cell and body fluid samples. Over the past few years, deep learning has created quite a hype about artificial intelligence in healthcare. The practice of diagnostic pathology has gone through a transformation wherein new tools such as digital imaging, advanced artificial intelligence algorithms and computer aided diagnostic techniques are being used for assisting, augmenting and empowering the computational histopathology and AI enabled diagnostics. This is paving the way for advancement in precision medicine in cancer. In this article, the milestones and landmark trials in computational pathology are discussed along with emphasis on future directions.

References

  • 1.   Shafi, S., & Parwani, A. V. (2023). Artificial intelligence in diagnostic pathology. Diagnostic Pathology, 18(109).
  • 2.   Artificial intelligence (AI) in medicine: Transforming the practice of surgical pathology. (2021). Diagnostic Pathology.
  • 3.   AI-Enhanced Digital Pathology and Radiogenomics in Precision Medicine. (2023).
  • 4.   Current and future applications of artificial intelligence in pathology diagnosis. (2021). Journal of Clinical Pathology.
  • 5.   Pathology AI {Artificial Intelligence} Reference Guide by Holger Lange and Cris Luengo , Flagship Biosciences Inc

Data Sharing Statement

There are no additional data available. All raw data and code are available upon request.

Funding

This research received no funding.

Author Contributions

All authors contributed significantly to the work and approve its publication.

Ethics Declaration

This article does not involve any human or animal subjects, and therefore does not require ethics approval.

Acknowledgements

We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.

Conflicts of Interest

No conflicts of interest in this work.

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Cite this article

Ravi Prakash Agarwalla. Artificial Intelligence in Diagnostic Pathology. Ind Jr of Path: Res and Practice 2024;13(2)55–59.

Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.

Received Accepted Published
February 10, 2023 March 25, 2023 March 30, 2023
DOI: https://doi.org/10.21088/ijprp.2278.148X.13224.2

Keywords

AIWSIDigital PathologyML

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Timeline

Received February 10, 2023
Accepted March 25, 2023
Published March 30, 2023

licence

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.


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