人工智能在肺癌诊断中的应用研究。
Research in the application of artificial intelligence to lung cancer diagnosis.
作者信息
Liu Wenjuan, Shen Nan, Zhang Limin, Wang Xiaoxi, Chen Bainan, Liu Zhuo, Yang Chao
机构信息
Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Department of Nephrology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
出版信息
Front Med (Lausanne). 2024 Jan 30;11:1343485. doi: 10.3389/fmed.2024.1343485. eCollection 2024.
Abstract
The morbidity and mortality rates in lung cancer are high worldwide. Early diagnosis and personalized treatment are important to manage this public health issue. In recent years, artificial intelligence (AI) has played increasingly important roles in early screening, auxiliary diagnosis, and prognostic assessment. AI uses algorithms to extract quantitative feature information from high-volume and high-latitude data and learn existing data to predict disease outcomes. In this review, we describe the current uses of AI in lung cancer-focused pathomics, imageomics, and genomics applications.
摘要
肺癌的发病率和死亡率在全球范围内都很高。早期诊断和个性化治疗对于解决这一公共卫生问题至关重要。近年来，人工智能（AI）在早期筛查、辅助诊断和预后评估中发挥着越来越重要的作用。人工智能使用算法从大量和高维度数据中提取定量特征信息，并学习现有数据以预测疾病结果。在这篇综述中，我们描述了人工智能目前在以肺癌为重点的病理组学、影像组学和基因组学应用中的用途。
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