首页|人工智能在肺癌早期诊断与精准治疗中的应用与挑战

人工智能在肺癌早期诊断与精准治疗中的应用与挑战

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肺癌的发病率和死亡率极高,患者在确诊肺癌后5年的生存率不到20%,因此对其早期筛查与干预尤为重要.而临床医生在短时间内需要阅读大量的CT图片,还需要确保漏诊率及误诊率较低,面临的压力及工作量大.人工智能的应用在一定程度上从不同方面辅助医生进行肺癌的早期诊断与精准治疗,但同时也存在些许问题.本文就人工智能在肺结节良恶性和病理诊断、基因突变、干预方案、疗效及预后的预测以及目前面临的挑战进行综述.
Applications and Challenges of Artificial Intelligence in Early Diagnosis and Precise Treatment of Lung Cancer
The incidence and mortality of lung cancer are extremely high,and the 5-year survival rate of patients after diagnosis is less than 20%;as such,early screening and intervention are important.However,doctors are overwhelmed with a large workload of CT scan review in a short period of time and should ensure that the rate of missed diagnosis and misdiagnosis is low.Artificial intelligence can assist doctors in early diagnosis and precise treatment of lung cancer,but this technology has problems.This paper reviews the application of artificial intelligence in the prediction of benign and malignant lung nodules,pathology,gene mutation,intervention scheme,treatment response,and prognosis and presents the corresponding challenges.

Artificial intelligenceDiagnosis and treatmentApplicationsChallenges

张守宇、陈勃江、李为民

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610041 成都,四川大学华西医院呼吸与危重症医学科

人工智能 诊疗 应用 挑战

2024

肿瘤防治研究
湖北省卫生厅,中国抗癌协会,湖北省肿瘤医院

肿瘤防治研究

CSTPCD
影响因子:0.737
ISSN:1000-8578
年,卷(期):2024.51(12)