Medical report summarization using NLP

Abstract

This project presents an AI-powered solution for automating medical report summarization using Natural Language Processing (NLP), designed to reduce the documentation workload for healthcare professionals. advanced transformer models and domain- specific medical knowledge, the system extracts key clinical information from complex medical texts and generates concise, accurate summaries to true and exact information. It supports multi- modal data integration like text and lab results and enables real-time report generation to accelerate clinical decision making. The entire process is secured, ensuring patient data privacy while enhancing efficiency and accuracy in healthcare documentation.