Automated Diagnosis and Treatment Recommendation System for Chronic Diseases: A Deep Learning Approach

Abstract

This study introduces an automated diagnosis and treatment recommendation system powered by deep learning techniques to assist healthcare professionals in managing chronic diseases more efficiently. By analyzing large-scale patient data, including medical imaging scans, laboratory results, and treatment histories, our system can accurately diagnose various chronic conditions and generate personalized treatment plans tailored to individual patient needs. Integration of this system into clinical practice has the potential to optimize healthcare delivery, improve patient outcomes, and mitigate the burden of chronic diseases on healthcare systems.