We provide a dataset of synthetic colonoscopy images, generated with Deambooth fine-tuned Stable Diffusion, for training polyp detection models.

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.

We introduce the Pediatrics EthicAl Recommendations List for AI (PEARL-AI) framework for clinicians and AI developers to ensure ethical AI enabled systems in healthcare for children.