This article develops and validates a Least Absolute Shrinkage and Selection Operator (LASSO) predictive model for post-operative dysphagia in patients undergoing Anterior Cervical Discectomy and Fusion (ACDF) surgery. This retrospective study examined 500 ACDF patients treated at a single institution from 2018 to 2022, with 75% of patients randomly divided into a training cohort and 25% into a validation cohort. Researchers evaluated 53 candidate variables categorized by radiographic measurements, surgical characteristics, medical history factors, and blood biomarkers. Using univariate comparisons, LASSO regression, and receiver operating characteristic (ROC) analysis, nine key dysphagia predictors were identified, including anesthesia duration, number of spinal levels fused, preoperative ALT and glucose levels, and preoperative/postoperative pre-vertebral soft tissue (PST) thickness. The model demonstrated strong accuracy, with an Area Under Curve (AUC) of 0.971 in the training set and 0.954 in the validation set. The authors emphasize the need for external validation, model comparisons, and careful cohort partitioning. Importantly, the model was designed specifically to predict dysphagia within the first postoperative month, leaving its long-term prediction of dysphagia untested.