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The revolutionary influence artificial intelligence (AI) has in revolutionizing lung cancer diagnosis is examined in this study report. The research explores the significant influence of artificial intelligence (AI) on many aspects of lung cancer diagnosis, highlighting its role in accuracy, efficacy, and early identification. The first section of the study explains how artificial intelligence has been used to diagnose lung cancer historically, from the first attempts in the 1960s to the most recent developments. It emphasizes the critical role AI plays in lung cancer screening using chest computed tomography (CT) and chest X-rays (CXR), demonstrating scientists' unwavering dedication to advancing diagnostic capabilities. The paper devotes a large amount of space to the diagnostic efficiency attained by AI, showing an improvement in accuracy and a decrease in false positives. Multiparametric clustering analysis is made possible by the incorporation of AI recognition technology, which helps doctors with early-stage lung cancer screening. Additionally, the study explores the potential of AI to advance personalized medicine by detecting cancer at an early stage and customizing treatment based on patient-specific information. The study also looks at the more general applications of AI in lung cancer prediction, taking into account the complex interactions between immune cells, tumor cells, and cancer-related variables.
Kasaudhan et al. (Fri,) studied this question.