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. 2022 Aug 28;47(8):994-1000.
doi: 10.11817/j.issn.1672-7347.2022.210645.

Artificial intelligence in lung cancer: Application and future thinking

[Article in English, Chinese]
Wei Zhao  1 , Jun Liu  2
Affiliations

Artificial intelligence in lung cancer: Application and future thinking

[Article in English, Chinese]
Wei Zhao et al. Zhong Nan Da Xue Xue Bao Yi Xue Ban. .

Abstract
in English, Chinese

The availability of medical big data and the rapid development of computer software and hardware have greatly promoted the advancement of intelligent medical healthcare. Artificial intelligence (AI) has been successfully applied in many fields of medicine, especially in lung cancer. The performance of AI in some specific tasks has surpassed that of humans. Several AI software has been deeply used in clinical practice to help decision-making, which is producing a profound influence on clinicians. At present, the application of AI in the field of lung cancer mainly includes detection, segmentation, classification, prognosis prediction, efficacy evaluation, and so on. AI faces certain challenges and opportunities in the era of big data in terms of data acquisition, annotation and interpretability. Researchers have conducted deep and extensive studies using AI in the field of lung cancer, and AI is expected to become a powerful assistant in the prevention and treatment of lung cancer. AI is bringing an unprecedented revolution to radiologists, but the role of radiologists is crucial in the development of AI.

医疗大数据的可获得性和计算机软硬件的飞速发展，极大地促进了智慧医疗的发展。人工智能(artificial intelligence，AI)已成功应用于医学多个领域，在肺癌方面的应用尤为突出，在某些特定任务上的准确度已经超越了人类；部分AI软件已经深入临床决策，正在深刻影响着临床医师的临床决策。目前AI在肺癌领域的应用主要包括检出、分割、分类、预后预测、疗效评估等；AI在数据获取、标注以及可解释性方面面临着一定的挑战和大数据时代的机遇。在肺癌领域AI已得到较为深入、广泛的研究，有望成为肺癌防治的得力助手。AI正给放射科医师带来一场前所未有的革新，但放射科医师的角色在AI发展过程中至关重要。.

Keywords: artificial intelligence; convolutional neural network; deep learning; lung cancer.

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Conflict of interest statement

作者声称无任何利益冲突。

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