We trained a deep learning model based on EfficientNetB0 that can diagnose exudative pharyngitis and deployed the model on a web application that can be used to augment the doctor’s diagnosis of exudative pharyngitis.

This study demonstrated that machine learning classification models (logistic regression, random forest and gradient boosting) can be used to predict Covid-19 fatality.

AI-assisted colonoscopy systems have been demonstrated to increase adenoma detection rates. We trained a YOLOv9 deep learning model combining bounding box predictions and object classification, using synthetic polyp images, to detect polyps in colonoscopy videos.