Diagnosis Report Auto-Generation

Overview

Ultrasound, CT, and MRI images are widely used for doctors to diagnose diseases. Traditional manual diagnosis highly relies on doctor's experience, which is very time consuming and high labor cost. AI-assisted diagnosis improves efficiency and reduces misdiagnosis. In this project, given historical medical images and diagnose report, we aim to develop AI algorithms to identify the appearance position, shape, size, internal echo, and blood flow signal of nodule, and then automatically generate the medical diagnose report that is as similar as the one written by doctors.

Project Framework

Members

Dr. Chenyang Zhao.

Previous members include Dr. Zhuo Li. Thanks for his contributions.