SWASTH — Smart Workflow for AI-assisted Screening and Treatment in Healthcare — is a cutting-edge IIT Delhi initiative leveraging Artificial Intelligence to revolutionize medical diagnostics. Designed specifically for the detection of breast cancer, gallbladder cancer, and the classification of chest X-rays, SWASTH represents a significant leap forward in healthcare innovation.

Deployed on the IIT Delhi cloud infrastructure, the SWASTH system offers an integrated and secure platform for medical professionals, researchers, and institutions. Its versatile design supports a broad range of diagnostic workflows, ensuring seamless user experiences across various imaging modalities.

Key Features of SWASTH:

1. Consensual Data Sharing: A robust framework ensures that all data sharing between users is consensual, maintaining strict compliance with ethical and privacy standards.

2. Study Labeling and File Management: Comprehensive tools for labeling medical studies and efficient file management simplify the organization and analysis of imaging data.

3. Bulk Upload of DICOM Files: Supports the bulk uploading of DICOM (Digital Imaging and Communications in Medicine) files, enabling users to efficiently handle large datasets.

4. Automatic Data Anonymization: An integrated anonymization feature automatically removes sensitive patient information from uploaded data, ensuring compliance with privacy regulations.

5. Cloud-based Model Execution: Users can run advanced diagnostic models directly on the IIT Delhi cloud, ensuring high performance and accessibility.

6. Customizable Detection and Input:The platform allows users to mark their own detections, input patient indications, and document findings, enhancing diagnostic precision and collaboration.

7. Unified User Interface: A single, generic interface supports diagnostic workflows for mammograms, abdominal ultrasounds, and chest X-rays, reducing complexity and promoting usability.