A method for predicting the likelihood of developing lung cancer by using an artificial intelligence model comprises the steps of: receiving, by means of an analysis device, a chest fluorodeoxyglucose (FDG) PET/CT image for a sample; inputting, by means of the analysis device, the F-18 FDG PET/CT image to a first classification neural network, and outputting prediction information related to development of lung cancer for the sample; and predicting, by means of the analysis device, a likelihood of developing lung cancer for the sample on the basis of the prediction information. The first classification neural network is trained by using chest F-18 FDG PET/CT images for healthy people and training images excluding lung cancer regions from chest F-18 FDG PET/CT images for lung cancer patients.
METHOD FOR PREDICTING LIKELIHOOD OF DEVELOPING LUNG CANCER BY USING ARTIFICIAL INTELLIGENCE MODEL, AND ANALYSIS DEVICE THEREFOR