A Comprehensive Preliminary Medical Diagnosis Using Image Processing and NLP on Radiology Images and Patient Medical Records.

This research aims to develop an automated system for diagnosing medical conditions from radiological images (MRI, CT-Scans, X-Rays, etc) and additional medical information. The system will use image processing algorithms to analyze the radiological images to generate a report. It will then use Natural Language Processing to integrate it with the patient's further medical records to generate a holistic diagnosis. This research aims to enhance the accuracy and efficiency of radiological diagnosis, along with diagnosis in general. The ultimate goal is to develop a reliable, automated tool that can support healthcare professionals in making a more informed diagnosis, thus, drastically improving healthcare for the patients.

Team members: Md. Rezaur Rahman Bhuiyan, Syed Naveed Mahmood, Tasfia Zaman, Zareen Tasneem Khondaker, Md. Yasin Khan, Jamimur Rahman Patwary, Risana Rehma Chowdhury, Md. Mehedi Hasan Shawon, Sumaiya Akter, Md Jobayer.