The role of artificial intelligence in the management of lung cancer: a narrative review

Abstract

Background: Lung cancer is the primary reason for cancer-related fatalities worldwide. The majority of lung cancer patients experience delayed diagnosis and ineffective treatment. Artificial intelligence is the term used to describe a computer or robot that enables certain tasks under the supervision of a computer in a way that satisfies human demands. Aim: This study was evaluated in order to comprehensively estimate the advancements achieved by artificial intelligence technology in pathological diagnosis, early detection of cancer through screening based on imaging, prognostic evaluation, genomes examination, and lung cancer treatment. Methods: In this review, English studies from common databases such as Pubmed/MEDLINE, Web of Science, Scopus, and the Cochrane Library with the keywords “Artificial intelligence,” “Machine learning,” “treatment,” “Diagnosis,” combined with keywords, involving “Lung cancer”, were involved. The end date for this review is March 2022. Scientific novelty: Most of the previous studies focused on the diagnostic value of AI evaluation in lung cancer cases without assessing the role of AI in the treatment of lung cancer. The given article evaluated AI's therapeutic and diagnostic advantages for patients with lung cancer. The practical significance of the result obtained: The results can help physicians to determine the best ways to manage lung cancer and diagnose it early to avoid complications. Additionally, the value of developing AI focused in early lung cancer diagnostic and providing more options for the treatment of lung cancer was explained. Conclusion: Imaging, histopathological, and genetic analyses of lung cancer all significantly benefit from artificial intelligence. Additionally, artificial intelligence can identify a small number of biomarkers, which is helpful for lung tumor surveillance. Moreover, whether by internal medicine or surgical intervention, the intelligent management of lung tumors has progressively grown to represent the future development trend. AI is anticipated to aid in the early detection of lung tumors and help medical professionals treat each patient uniquely.