AI BASED MEDICAL REPORT ANALYZER

Abstract

Medical reports often contain large amounts of textual information that can be difficult for patients to understand. Many medical terms, abbreviations, and diagnostic statements require professional interpretation, which makes it challenging for non-medical users to easily analyze their health reports. Manually reviewing and interpreting these reports can also take significant time for healthcare professionals. To address this challenge, the Medical Report Analyzer System is developed as an intelligent solution that uses Artificial Intelligence and Natural Language Processing (NLP) techniques to automatically analyze medical reports. The system extracts important information such as medical conditions, symptoms, test results, and key observations from uploaded reports. The application processes medical documents and identifies relevant medical terms using machine learning models and text analysis techniques. It then generates simplified explanations and structured summaries that help users better understand their medical reports. Additionally, the system can highlight abnormal findings and provide useful insights to assist users in interpreting their health information. This AI-powered solution improves accessibility and understanding of medical documents, reduces the effort required for manual interpretation, and helps patients make more informed decisions about their health. The Medical Report Analyzer can be useful for patients, healthcare professionals, and medical institutions by providing a faster and more efficient way to interpret medical reports.