Applications and Challenges of Artificial Intelligence in Early Diagnosis and Precise Treatment of Lung Cancer
Year: 2024
Type: article
Abstract: 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.
Authors: Shouyu ZHANG, Bojiang CHEN, Weimin LI
Institutions: Sichuan University, West China Hospital of Sichuan University
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6891569437
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