We are working on a Remote Radiology Assessment App that combines cutting-edge technology to deliver swift and life-saving diagnostics. With our app, radiology centers seamlessly submit medical images, The Python-based AI model for assessment, interprets images, generating detailed reports and assigning severity markers. This intelligent system not only expedites assessments for emergency and critical cases but also forwards them remotely to doctors for validation. Bridging gaps in healthcare access, this project provides efficient user experience with powerful computer vision components. By leveraging advanced AI, it not only ensures rapid diagnostics but also provides an invaluable collaboration between automated analysis and expert medical validation for a faster and promising diagnostic efficiency and accuracy, especially vital in remote and underserved regions. This innovation will represent a paradigm shift, offering a lifeline for hospitals and radiology centers dealing with urgent cases, ultimately saving lives with every automated assessment.
Built With
- analysis-tensorflow
- azure-or-google-cloud-for-efficient-ai-model-deployment
- diagnostic-reports-and-user-data-securely.-cloud-services-?-using-cloud-based-services-like-aws
- djangorestframework
- flutter
- google-cloud
- interpretation
- mongodb
- opencv
- postgresql
- python
- pytorch
- tensorflow
- yolov8
- yolov8-for-secure-api-communication-between-the-frontend-and-the-backend-django-rest-framework.-databases-?-postgresql-and-mongodb-to-store-and-manage-uploaded-images
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