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 sh...

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Bibliographic Details
Published inZhongliu fangzhi yanjiu Vol. 51; no. 12; pp. 1000 - 1006
Main Authors Zhang, Shouyu, Chen, Bojiang, Li, Weimin
Format Journal Article
LanguageChinese
English
Published Tianjin China Anti-Cancer Association 01.12.2024
Magazine House of Cancer Research on Prevention and Treatment
Subjects
applications
Artificial intelligence
challenges
Computed tomography
Diagnosis
diagnosis and treatment
Lung cancer
Lung nodules
Nodules
Point mutation
Working conditions
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Summary: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.
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ISSN:1000-8578
DOI:10.3971/j.issn.1000-8578.2024.24.0755