肺癌是全球发病率和死亡率最高的恶性肿瘤之一。肺癌的总体五年生存率相对其他主要癌症较低。早期诊断和预后对于提高患者的生存率至关重要。近年来，随着人工智能（AI）方法广泛应用于肺癌，肺癌的早期诊断和预测已取得出色的表现。本文综述了肺癌中各种类型的AI算法应用，包括自然语言处理（NLP）、机器学习和深度学习以及强化学习。此外，我们提供了关于AI在肺癌诊断和临床预后中应用的证据。本综述旨在阐明AI在肺癌诊断和预后中的价值，作为精确治疗肺癌患者的新型筛选决策。Copyright © 2023 Elsevier Ltd. All rights reserved.

Lung cancer is one of the malignant tumors with the highest incidence and mortality in the world. The overall five-year survival rate of lung cancer is relatively lower than many leading cancers. Early diagnosis and prognosis of lung cancer are essential to improve the patient's survival rate. With artificial intelligence (AI) approaches widely applied in lung cancer, early diagnosis and prediction have achieved excellent performance in recent years. This review summarizes various types of AI algorithm applications in lung cancer, including natural language processing (NLP), machine learning and deep learning, and reinforcement learning. In addition, we provides evidence regarding the application of AI in lung cancer diagnostic and clinical prognosis. This review aims to elucidate the value of AI in lung cancer diagnosis and prognosis as the novel screening decision-making for the precise treatment of lung cancer patients.Copyright © 2023 Elsevier Ltd. All rights reserved.