MedicalRec: Medical recommender system for image classification without retraining

This study introduces MedicalRec, a medical recommender system for image classification, designed to optimize model selection without the need for extensive retraining. It addresses the computational and energy challenges of model identification by leveraging a publicly available dataset, MedicalRec-Bench, compiled from 3,000 articles and over 5,000 tested model records.