Development of a preoperative prediction model for neoplastic polyps of the gallbladder based on a convolutional neural network model using ultrasonic images

Key Points

• Identifying neoplastic polyps in gallbladders reveals a significant predictive performance.
• The CNN model showed a predictive accuracy rate surpassing earlier diagnostic methods in trials.
• This analysis employed convolutional neural networks to process ultrasound images effectively.
• The approach underscores the necessity for enhanced preoperative diagnostics to optimize treatment choices.