 The study aimed to develop a predictive lung cancer screening model using electronic medical records, EMRs, that can accurately identify patients at risk of developing lung cancer, thereby reducing unnecessary and expensive diagnostic interventions. The model achieved excellent performance in predicting lung cancer within one year and has potential to be deployed for digital patient screening. Convolution Neural Networks facilitated the effective use of EMRs to identify individuals at high risk for developing lung cancer. This article was authored by Marvin Chihanya, Yuxiang Wang, Suen Chihayang, and others.