GetAnnotator

  • Industry: Healthcare Research & AI Development

  • Challenges: Needed to annotate over 150,000 MRI brain scan images with detailed segmentation.

  • Solution by: GetAnnotator by Macgence AI

Background

A prestigious university research lab was developing an AI-driven diagnostic system to detect early signs of neurological disorders from MRI and CT scan data. While they had expert researchers and advanced imaging technology, they lacked the large-scale, specialized annotation capability needed to prepare their datasets for AI training.

Challenge

The research team needed to annotate over 150,000 MRI brain scan images with detailed segmentation of regions associated with early-stage neurodegenerative diseases. Key obstacles included:

  • Specialized Expertise: Required annotators with medical and radiology knowledge to ensure accuracy.

  • Compliance: Adherence to HIPAA and academic data privacy standards.

  • Scaling Resources: Need for rapid ramp-up to meet a six-month research grant deadline.

Their internal team could not balance high-level research tasks with the extensive manual labeling workload. Hiring a permanent team was not financially feasible for an academic project.

Solution

The lab partnered with GetAnnotator to deploy a specialized remote medical annotation team.

Key Actions Taken:

  • Expert Team Allocation – 12 certified medical annotators with backgrounds in radiology and neurology assigned to the project.

  • Customized Annotation Protocol – Workflow designed in collaboration with the research team to ensure precise identification of disease markers.

  • Rigorous Quality Assurance – Multi-tier QA with a senior radiologist overseeing samples to maintain 99% accuracy.

  • Secure Infrastructure – HIPAA-compliant cloud environment for secure data transfer and storage.

Outcome

Medical Lab Data Annotator
MetricBefore GetAnnotatorAfter GetAnnotatorImprovement
Dataset Size Prepared25,000 images in 26 weeks150,000 images in 16 weeks6× faster
Annotation Accuracy87%99%+12%
Project Timeline AdherenceDelayed by 2 monthsCompleted 30% ahead
AI Model Early Disease Detection Accuracy68%83%+22%

In just 16 weeks, GetAnnotator delivered:

  • 150,000+ MRI scans annotated with detailed segmentation.

  • 99% labeling accuracy, validated by the lab’s lead radiologist.

  • 30% faster project completion than initially projected.

As a result, the AI model trained on these annotations achieved a 22% improvement in early disease detection accuracy compared to previous datasets. The lab met its research grant deadline, published findings in a peer-reviewed journal, and secured additional funding to expand the project to multi-modal imaging.

Impact

The collaboration enabled the research lab to:

  • Accelerate research timelines by removing data preparation bottlenecks.

  • Improve dataset quality, leading to more accurate AI predictions.

  • Scale resources cost-effectively, avoiding the expense of permanent hires.

Talk to an Expert

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Frequently Asked Questions

We combine a trained medical annotation workforce with advanced tools that streamline the labeling process. This allows us to maintain both speed and precision, even at large volumes.

Every dataset goes through multi-layered quality checks, including human-in-the-loop reviews and AI-assisted validation. This ensures medical-grade accuracy.

Yes. We follow strict HIPAA and GDPR compliance protocols, use encrypted channels, and enforce NDA-bound remote setups.

Our team is trained to work with DICOM and other medical imaging standards. We tailor annotation protocols based on each project’s requirements.

Absolutely. Whether you need 10,000 or 500,000+ images annotated, we can customize timelines and workflows to your needs.

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