Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, P.R. China.
Clin Chem Lab Med. 2022 Jun 30;60(12):1974-1983. doi: 10.1515/cclm-2022-0291. Print 2022 Nov 25.
Artificial intelligence (AI) is a branch of computer science that includes research in robotics, language recognition, image recognition, natural language processing, and expert systems. AI is poised to change medical practice, and oncology is not an exception to this trend. As the matter of fact, lung cancer has the highest morbidity and mortality worldwide. The leading cause is the complexity of associating early pulmonary nodules with neoplastic changes and numerous factors leading to strenuous treatment choice and poor prognosis. AI can effectively enhance the diagnostic efficiency of lung cancer while providing optimal treatment and evaluating prognosis, thereby reducing mortality. This review seeks to provide an overview of AI relevant to all the fields of lung cancer. We define the core concepts of AI and cover the basics of the functioning of natural language processing, image recognition, human-computer interaction and machine learning. We also discuss the most recent breakthroughs in AI technologies and their clinical application regarding diagnosis, treatment, and prognosis in lung cancer. Finally, we highlight the future challenges of AI in lung cancer and its impact on medical practice.
人工智能（AI）是计算机科学的一个分支，包括机器人技术、语言识别、图像识别、自然语言处理和专家系统的研究。人工智能有望改变医疗实践，肿瘤学也不例外。事实上，肺癌的发病率和死亡率在全球范围内都很高。主要原因是早期肺结节与肿瘤性变化相关的复杂性以及导致治疗选择困难和预后不良的众多因素。人工智能可以有效地提高肺癌的诊断效率，同时提供最佳的治疗和评估预后，从而降低死亡率。本综述旨在提供与肺癌所有领域相关的人工智能概述。我们定义了 AI 的核心概念，并涵盖了自然语言处理、图像识别、人机交互和机器学习的基础知识。我们还讨论了人工智能技术的最新突破及其在肺癌诊断、治疗和预后方面的临床应用。最后，我们强调了人工智能在肺癌中的未来挑战及其对医疗实践的影响。
