Application of artificial intelligence in the diagnosis and prevention of occupational mesothelioma: A review study
Code: G-1284
Authors: Ayoub Ghanbary Sartang * ℗, شوکت تاج زاده, سید احمد موسوی اصل, رضا فلاحی
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Tag: Intelligent Virtual Assistant
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Abstract:
Abstract
Background and Objective: Early detection of occupational diseases is important because most of the occupational diseases are identified as soon as possible and by taking appropriate preventive and therapeutic measures, they can be prevented from progressing to severe and incurable stages and from causing permanent disability to the person. This review study aimed to investigate the application of artificial intelligence in the diagnosis and prevention of occupational mesothelioma. Search Method: This review study used 15 articles published between 2014 and 2024. The aim of this review study was to investigate the Application of artificial intelligence in the diagnosis and prevention of occupational mesothelioma using the databases Google Scholar, Science Direct, PubMed, ResearchGate, and Springer. Findings: The results of various studies show that various artificial intelligence-based methods are used to diagnose mesothelioma. These methods include support vector machines, decision trees, multilayer perceptron or feed-forward neural networks, j48 algorithm, bagging algorithm, logistic regression and gradient boosting algorithm, which have 100% accuracy compared to other methods for diagnosing mesothelioma and Other algorithms had an accuracy lower than 100%. Conclusion: The results of this review study showed that artificial intelligence algorithms are useful for early detection and prevention of mesothelioma, which helps in the early and early diagnosis of this deadly disease.
Keywords
Artificial Intelligence,Occupational Mesothelioma, Occupational Exposure,Prevention
