Applications and future prospects of artificial intelligence in the diagnosis and prognosis of lung cancer

Abstract

With its annual incidence gradually rising and hence a major threat to public health, lung carcinoma is a major contributor to cancer-associated death worldwide. Artificial intelligence (AI) in computer science refers to research on robots, language processing, image recognition, speech, and machine learning (ML) applications. This will change the physician’s approach to cancer management. Given its successful application in many healthcare fields, AI has recently made significant developments. In lung cancer, this development is especially important because AI has shown great efficiency in therapeutic strategies and diagnostic techniques. This review aims to present a brief overview of AI approaches applied in the field of lung cancer. We discuss the foundations of AI, deep learning (DL), image identification, natural language processing, and human-computer interfaces. The most recent AI advancements and their applications in lung cancer diagnosis, treatment, and prognosis were also examined in this study. Finally, we address the difficulties in applying AI and how it can affect clinical practice in lung cancer.