Lung cancer is the highest global incidence and mortality rates, imposing substantial burdens on patients’ lives. As the most transformative technology of the modern era, artificial intelligence (AI) has been deeply integrated into medical research and clinical practice. Currently, AI is widely applied in the diagnosis, treatment, and prognostic evaluation of lung cancer. This paper outlines the historical development of lung cancer and its current diagnostic and therapeutic approaches. Then examines the evolution of AI technologies and their learning methodologies, culminating in a focus on the latest advancements in AI applications for lung cancer diagnosis, treatment, and prognosis. This article summarizes the current state of AI integration in lung cancer care and proposes potential directions for future development.
Wang et al. (2026) studied this question.