
Gastroenterology
AI is reducing bias in cancerous polyp detection and inflammatory bowel disease.
- Track polyps in video
- Colonography and scope videos in one tool
- Support Mayo and UCEIS scoring rubrics
Encord empowers leading medical institutions and companies to address some of the hardest challenges in computer vision for healthcare.
Computer vision is revolutionising progress in medical imaging - from diagnostics and pathology to robotic surgery.
AI is reducing bias in cancerous polyp detection and inflammatory bowel disease.
Annotate modalities such as CT, MRI, and X-ray.
Handle high-resolution microscopy images with ease.
Annotate ultrasound data with high accuracy.
Label and classify a variety of conditions.
Accurately track devices in surgical videos.
The Division of Nephrology reduced experiment duration by 80% while processing 3x more images.
Expert review workflows, fully auditable, automated data quality checks. Fully compliant medical-specific tooling.
Specialised tools
Expert review
Automated quality assessment
Automated labelling
Compliant & secure
Auditable
We support all common medical image modalities including ultrasound, gastro videos, and offer a leading solution for volumetric DICOM images.
From satisfying regulatory and compliance requirements to offering customisable annotation review processes. Our software is developed alongside, and designed for the use by medical experts.
KCL used Encord to achieve a 6.4x average increase in labelling efficiency for GI videos.
MSK adopted Encord to build custom label structures for pulmonary thrombosis projects.