Inspiration
Given the current medical context, it makes sense to do everything we can to help the healthcare system work faster and better. A breast cancer discovered in early stages means more chances of recovering. Also, detecting pneumonia, which is nowadays the death cause of people with COVID-19, is another functionality that can save lives. Automating the healthcare system means allowing the doctors to focus on saving human lives!
What it does
MedBot is a robot designed to help doctors to faster diagnose and interpret patients' imagistic investigations. This bot will take as input photos of a patient's x-rays and based on two CUSTOM deep learning models (one that deals with identifying breast tumors and one that identifies lung illnesses like pneumonia caused by COVID-19), will provide a diagnostic and automatically complete the patient's medical record. The patient's information needed for completing the medical record - first name, last name, birthdate, city etc is going to be retrieved using image preprocessing and OCR on the patient's ID.
How we built it
We designed the machine learning model that detect the breast cancer or the lung diseases and we built the robot that interacts with it.
Challenges we ran into
Interaction between robot and machine learning models, make them work together.
Accomplishments that we're proud of
A full solution that can help doctors around the world.Automating the healthcare system means allowing the doctors to focus on saving human lives!
What we learned
That we can ease doctors' life by building such solutions. And also how to link AI/ML with RPA.
What's next for MedBot
Promoting the solution, so that everyone knows what are MedBot's capabilities.
Built With
- ocr
- python
- uipath

Log in or sign up for Devpost to join the conversation.