Create Surgical Video AI Models 6x Faster With Encord
Build better surgical intelligence models with Encord’s video labeling and clinical operations platform.
Our Groundbreaking Healthcare Customers
Collaboratively Label and Manage Surgical Video Training Data with Encord
Encord is a medical-grade video annotation and clinical operations platform designed for surgical intelligence use cases, including surgical robotics and AI-assisted surgery.
Encord makes video labeling quicker and more efficient, reducing the hours your annotation team needs to spend labeling and reviewing images. And Encord’s advanced labeling protocols and data quality features ensure the best training data is being used to train your surgical intelligence models.
Develop your surgical AI models faster and more efficiently with Encord.
Efficient Medical Grade Image Labeling
Encord supports rich labeling protocols within its surgical video annotation tool.
You can create complex labeling protocols covering as many feature types as you need to deliver the right video training data to your machine learning teams.
A Single Platform for Surgical Video Annotation
Encord offers multiple ways to annotate videos within a single platform, including bounding box, polygon, polyline, keypoint, segmentation and classification.
This means your annotators and reviewers only have to use a single piece of software to do their jobs. And your developers don’t have to try and maintain multiple in-house tools to cover each type of annotation task.
The Industry’s Most Powerful Labeling Protocols
Give your annotators a single platform for all their annotation types, including bounding box, polygon, polyline, keypoint, segmentation and classification.
And with a single platform, your developers are saved from maintaining multiple custom or open-source annotation tools.
Efficient Clinical Data Operations
Encord has been designed to make it easier for you to meet your regulatory submissions, including FDA and CE approval.
In addition to being HIPAA and SOC-2 compliant, Encord’s data pipelines, auditable labels and QC and QA features make regulatory compliance much less of a headache.
Create Better Surgical Video Training Data
Encord helps clinical operations teams identify the errors, biases and imbalances in the datasets they’ve created (even down to individual annotator performance).
This allows clinical operations leaders to provide better datasets to their machine learning teams and help reduce model time to production.
Supporting Your Regulatory Journey
Encord has been designed to make it easier for you to meet your regulatory requirements, including FDA submissions and CE approval.
As well as being HIPAA and SOC2compliant, Encord’s data pipelines, fully auditable labels and quality control and assurance features make regulatory compliance much less of a headache.
Read how our customers are using Encord to accelerate the development of their healthcare machine learning models
MSK adopted Encord to build custom label protocols for pulmonary thrombosis projects.
The Division of Nephrology reduced experiment duration by 80% while processing 3x more images.