This is my first laravel web-app for diagnosing x-ray medical images dedicated to novice doctors which makes them able to solve a diagnostic problem in a collaborative way. In addition to that they can read AI predictions for each image which helps them to recognize which disease the patient has.
Notes
In this web-app I used a deployed deep learning model on flask to fetch predictions for x-ray images on the web-app.
Due to my hardware limits I got a bad accuracy when I trained the model, but at least I could connect the deployed model with the web-app
Since I used a dataset of pneumorax diseases, then doctors of penumology field can use it, as well as others can use it normal
The database file is included in "/README/database_design.mwb" which you can create it in your local pc using mysql workbensh (Forward Engineering).
Check the link of deployed model Flask-App Github Repo
- Create an acount then login
- Browse available blogs, scheduled meetings
- Find other users (name, city, occupation, hospital)
- Edit personal profile
- Create a Blog (diagnosis problem)
- title
- description
- invite participants (doctors)
- schedule a meeting (external link)
- upload images (chast x-ray images)
- Inside the blog
- Navigate the images slider
- Annotate each Image (add notes, tags)
- Watch other doctors annotations
- Watch AI Predictions for the current image on the slider
- Vote on the most probable disease (14 pulmonary disease)
- Comment to other doctors
Frontend
- Html
- Css
- Js
- JQuery
- Bootstrap 5
- Annotorious (for image annotations)
Backend
- Laravel 10 including (Elequent ORM, Blade)
- php v8.1
- Mysql database
- Realtime Notifications
- (Friendship) Follow/Unfollow
- Messaging other users
- breaking web-app Limits ;)
- Improve the DL model accuracy
- Add another DL model for image annotations
Thanks for reading
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