Presentation: https://slack-files.com/T010R7Y3M98-F011X9N8M7W-98c69226a9
Inspiration
There is a need for accurate detection of COVID-19
Chest X-Rays/ CTs as second test are more reliable
Support the doctors with AI technology to diagnose and predict the progress of the disease
Increases the survival rate of the patient
What it does
COVID-19 tests are not reliable | Analyze lungs directly
Time consuming analysis protocol! | AI as a faster pipeline
Doctors don’t trust AI black-box | Our pipeline has similar steps as doctors do!
Patient’s info not used fully | We use all data for final severity prediction
How we built it
Segmentation of lungs
Highlight of damaged regions
Calculation of damage degree
Prediction of COVID-19 severity using patients’ data and damage degree
Web frontend for the doctor to see a patients X-Rays and their "severity prediction score". An overlay can be activated to show the machine learning analysis.
Challenges we ran into
Creating the machine learning model.
What's next for Predictovid
Pitching it to doctors.
Log in or sign up for Devpost to join the conversation.