AI Data Operations
From radiology scans to clinical documents, our in-house annotation teams label medical and biological data with the accuracy, consistency and data security that healthcare AI models require. No outsourcing, no freelancers, no work-from-home access to patient data.
Capabilities
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Our medical data annotation experts assign diagnostic or descriptive labels to entire medical images, such as identifying imaging modality (X-ray, CT, MRI, US, PET, etc.), body region, or the presence or absence of a finding, to support triage and pre-screening models.
Our medical image labelling experts perform pixel-level or region-level labelling of organs, tissues, or structures within scans and clinical images, producing the precise boundaries that segmentation models require for measurement and analysis tasks.
Our medical data annotation experts identify and mark the exact location of a structure, device, or finding within an image using bounding boxes or region markers, so downstream models can detect not just what is present but where.
Our medical data annotation experts perform keypoint and boundary annotation of anatomical structures across the human body, including joints, limbs, and skeletal landmarks. Our teams have delivered full-body keypoint mapping and 3D-to-2D skeleton point correlation for healthcare application development.
Our medical data annotation experts mark and classify abnormal regions within medical images, such as lesions, nodules, or irregularities, to help models learn to distinguish normal anatomy from findings that warrant clinical attention.
Our medical data annotation experts provide precise keypoint placement on clinically relevant landmarks, including joints, ears, eyes, teeth, and shoulders. This is one of our most established medical annotation services, delivered for healthcare application clients with quality benchmarks consistently at or above 99%.
Our medical data annotation experts label clinical documents, forms, and records, including entity tagging and field identification, to prepare medical documentation for NLP and data extraction AI models.
Our medical data annotation experts label scanned or handwritten medical text, including clinical notes and radiology reports, into accurate, machine-readable text, supporting digitization and downstream language model (LLM) workflows.
HAVE A SPECIFIC REQUIREMENT?
Tell us what your model needs. We’ll help you scope the annotation capabilities that fit your project.
From complex medical imaging formats to structured annotation outputs, our workflows adapt to your data requirements and existing tools.
Medical imaging and clinical data, structured for accurate annotation across imaging modalities.
CT, PET-CT, MRI, X-ray
WSI, SVS, NDP, DICOM, JPEG, PNG
Annotation outputs structured to integrate with your existing AI development and data pipelines.
JSON, COCO
Client-specified schemas
Flexible workflows that adapt to your team's existing annotation infrastructure and tools.
Leading annotation platforms
Proprietary client tools
Explore the medical imaging, clinical data, and anatomical annotation applications we support.
Backed by deep domain expertise across 20+ industry verticals, we collect and annotate data your models can rely on.
We audit, correct and validate auto-annotated aerial data against your guidelines before it reaches your training pipeline.
Whether you need precisely annotated training data, real-world data collection, a dedicated in-house team, or other staffing solutions, Qualitas Global delivers all three under one roof. Backed by over a decade of experience, we back every engagement with a risk-free 2-day pilot before you commit.
