Application and fallibility of Artificial Intelligence and machine learning in Diagnostic Pathology

Authors

  • Pallavi Mishra Department of Oral and Maxillofacial pathology, KIIT (Deemed to be University) Kalinga Institute of Dental Sciences, Bhubaneswar
  • Abikshyeet Panda Professor, Department of Oral and Maxillofacial pathology, KIIT (Deemed to be University) Kalinga Institute of Dental Sciences, Bhubaneswar
  • Monalisha Mahapatra Post Graduate Trainee, Department of Oral and Maxillofacial pathology, KIIT (Deemed to be University) Kalinga Institute of Dental Sciences, Bhubaneswar
  • Prachurya Dakshinakabat Post Graduate Trainee, Department of Oral and Maxillofacial pathology, KIIT (Deemed to be University) Kalinga Institute of Dental Sciences, Bhubaneswar
  • Aishwariya Mohanty Senior Resident, Department of Oral and Maxillofacial pathology and Oral Microbiology, SCB Dental college and Hospital, Cuttack
  • Lipsa Bhuyan Reader, Department of Oral and Maxillofacial pathology, KIIT (Deemed to be University) Kalinga Institute of Dental Sciences, Bhubaneswar

DOI:

https://doi.org/10.3329/bjms.v23i10.71732

Keywords:

Artificial intelligence, medical science, precision medicine, pathology

Abstract

Artificial intelligence (AI) refers to the use of technology and computers to replicate behavioral intelligence and analytical reasoning that is equivalent to that of a human being. The medical sciences make substantial use of computer systems with artificial intelligence which primarily include remote patient treatment, prescription recording, increasing doctor-patient interaction, medication discovery and patient diagnosis. Its application in health care industry is mainly because of increased job demands, difficult tasks, and probable doctor weariness all have the potential to impair diagnostic performance. In this review we have enlightened the various roles of AI such as automated diagnosis, predictive analysis, image analysis, precision medicine and the biomarker development. The use of AI tools in pathology has grown significantly in recent years, and it is predicted that they will revolutionize the field in the years to come. AI tools can change how pathology functions while rendering it more efficient at meeting the demands of the modern era of precision medicine.

Bangladesh Journal of Medical Science Vol.23 (Special Issue) 2024 p.S32-S37

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Published

2024-03-11

How to Cite

Mishra, P., Panda, A., Mahapatra, M., Dakshinakabat, P. ., Mohanty, A. ., & Bhuyan, L. . (2024). Application and fallibility of Artificial Intelligence and machine learning in Diagnostic Pathology. Bangladesh Journal of Medical Science, 23(10), S32-S37. https://doi.org/10.3329/bjms.v23i10.71732

Issue

Vol 23: 'Special issue 2024'

Section

Review Article

License

Copyright (c) 2024 Pallavi Mishra, Abikshyeet Panda, Monalisha Mahapatra, Prachurya Dakshinakabat, Aishwariya Mohanty, Lipsa Bhuyan

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