Systematic Analysis of Artificial Intelligence in Pathology
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Date
2023-06
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Kairali Society of Oral and Maxillofacial Pathologists
Abstract
Introduction: Artificial intelligence (AI) is an emerging modern technology within the health care sectors in the current era and it is the ability of computer software to mimic human judgment. Artificial intelligence (AI)-based modern image analysis methods have significant promise for enhancing the accuracy and efficacy of pathology diagnostic processes as well as for the discovery of new biomarkers. Objectives: In this article, we will discuss Artificial Intelligence, its usage in pathology in various ways such as for screening of various diseases, detection of prognostic markers or biomarkers, and various treatment modalities. Materials and Methods: Data were collected and analyzed from the recently published literature and electronic database searches of Cochrane and included the articles the year 2017 to 2021 by reading the title and the abstract. Artificial intelligence (AI), has a lot of potential for aiding in diagnosis with the advancement of information technology. For this purpose, few machine learning algorithms have been created to date. Given their capacity to evaluate complicated data in a quantitative and standardised manner to further improve the precision and scope of diagnoses, artificial intelligence (AI) or machine learning technologies hold great promise for the field of pathology. Conclusion: The application of Artificial Intelligence tools in pathology has sharply increased in this era and it is anticipated to revolutionize the pathology field in the years ahead and can change the way the field of pathology is managed and make them not only more systematic but also effective in meeting the needs of the current age of precision medicine.
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Keywords
Artificial Intelligence, Digital imaging, Machine learning, Whole slide imaging, Oral Cancer
Citation
Uppala D, Smyrna O, Lavanya L, Gadam, Kumar TV.. Systematic Analysis of Artificial Intelligence in Pathology. Oral and Maxillofacial Pathology Journal. 2023 Jun; 14(1): 142-144