Project information
- Category: Medical Applicattion
- Client: Neurocare.AI (USA Start-up)
- Project date: 30 September, 2022
- Mobile Application URL: Click Here
- Web Application URL: Click Here
- Online Demo: Click Here
DICOM images are used in medical imaging apps such as MRI, CT scans, and X-rays.
For Web Applications, we use OHIF's official library to view medical images (cornerstone-core, DWV). But for mobile, there is no library available so we created our own library to view medical images. By using Google cloud brackets, all patient data is retrieved from the Healthcare store. Detect bleeding or hemorrhage after CT scans using the Python API. Afterward, the doctor will check and begin treatment through the virtual clinic.
Powerful Features of
Neurocare.AI Mobile Application
Fatch DICOM Images from Google Heathcare Cloud
Filter Patient by Syatem & Sites
Filter Patient by Modality
Searching Pattient
Brain Hemorrhage Detection APIs
Emergency call to System & Site
schedule notification connected with CT Scanner
Have Demo data for testing Purpose
Powerful Features of
Neurocare.AI Web Application
Fatch DICOM Images from Google Heathcare Cloud
Labeling the DICOM Images accordingly
Filter Modality
CURD Operation on Patient List
Easily Make Annotation
Patient filter according to System & Sites
Filtering Data according to Study and Instance ID
Open Source OHIF Library
Powerful Features of
Online DICOM Viewer & annotator Application
Multi-modality support
High-quality image display
Image manipulation and processing
Measurements and annotations
Integration with other medical systems
Security and compliance
DICOM network connectivity
DICOM Tags information
Have you Project
or Prototype
It's time to change your idea into a real product and Minimal Viable Product. Set a meeting and discuss your problem.
Get Started