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- W4228996871 abstract "Malignant tumors is a serious public health threat. Among them, lung cancer, which has the highest fatality rate globally, has significantly endangered human health. With the development of artificial intelligence (AI) and its integration with medicine, AI research in malignant lung tumors has become critical. This article reviews the value of CAD, computer neural network deep learning, radiomics, molecular biomarkers, and digital pathology for the diagnosis, treatment, and prognosis of malignant lung tumors." @default.
- W4228996871 created "2022-05-08" @default.
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- W4228996871 date "2022-05-06" @default.
- W4228996871 modified "2023-10-16" @default.
- W4228996871 title "The value of AI in the Diagnosis, Treatment, and Prognosis of Malignant Lung Cancer" @default.
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- W4228996871 doi "https://doi.org/10.3389/fradi.2022.810731" @default.
- W4228996871 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37492685" @default.
- W4228996871 hasPublicationYear "2022" @default.
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