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Medical & Healthcare

Accurate medical data annotation for AI development, from diagnostic imaging and pathology slides to surgical video and patient monitoring.

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Expert Labeling
of Medical Data

Medical Data Annotation services for a wide range of computer vision applications.
Annotated hand X-ray and ultrasound scan examples for medical data annotation
completed
projects
annotated
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Medical AI systems depend on training data that captures anatomical structures, clinical findings, and real-world conditions with precision.

Keymakr provides image and video annotation for healthcare computer vision applications, helping teams prepare structured datasets for production-ready models.

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Medical
Annotation Types

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01. Automatic Annotation

Uses AI models to pre-label medical images and videos, helping specialists review and correct annotations faster.

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Automatic annotation of hand and wrist bones on an X-ray image

02. Bounding Box

Marks the location and approximate size of lesions, tumors, organs, and surgical instruments.

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Bounding box marking a finding on a foot X-ray

03. Oriented Bounding Box

Identifies medical objects, such as surgical instruments, with rotated boxes that capture their position and orientation.

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Oriented bounding boxes on an ultrasound scan

04. Cuboid

Represents the approximate 3D dimensions, position, and orientation of anatomical structures or medical instruments.

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Cuboid annotation of dental implants on a panoramic dental X-ray

05. Polygon

Outlines anatomical structures, lesions, and tissue regions with precise boundaries in 2D medical images.

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Polygon annotation of wrist bones on hand X-rays

06. Semantic Segmentation

Labels each pixel in medical images to distinguish organs, tissues, lesions, and other anatomical regions.

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Semantic segmentation of pelvic bones, discs and implants on an anatomical model

07. Instance Segmentation

Separately outlines individual cells, lesions, or other objects belonging to the same class.

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Instance segmentation of individual teeth on a panoramic dental X-ray

08. Skeletal Annotation

Connects anatomical landmarks to analyze body posture, joint alignment, and movement for rehabilitation and chiropractic needs.

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Skeletal annotation of a patient's posture during a rehabilitation exercise

09. Key Points

Marks anatomical landmarks, such as joint centers or bone reference points, for precise localization and measurement.

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Key points marking facial landmarks around the eyes and mouth

10. 3D Annotation

Delineates organs, tumors, and other anatomical structures across volumetric CT and MRI scans for 3D visualization and analysis.

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3D annotation of lungs, heart, liver and other organs from volumetric CT data

11. Custom

Combines labeling techniques to address specialized medical imaging tasks and project-specific clinical criteria.

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Custom combination of bounding boxes and skeletal annotation in a medical laboratory scene

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Need
custom solution

Automatic Annotation icon Automatic Annotation icon hover
Automatic Annotation
Bounding Box icon Bounding Box icon hover
Bounding Box
Oriented Bounding Box icon Oriented Bounding Box icon hover
Oriented Bounding Box
Cuboid icon Cuboid icon hover
Cuboid
Polygon icon Polygon icon hover
Polygon
Semantic Segmentation icon Semantic Segmentation icon hover
Semantic Segmentation
Instance Segmentation icon Instance Segmentation icon hover
Instance Segmentation
Skeletal icon Skeletal icon hover
Skeletal Annotation
Key Points icon Key Points icon hover
Key Points
3D Annotation icon 3D Annotation icon hover
3D Annotation
Custom icon Custom icon hover
Custom

Professional Data Annotation
for Healthcare

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Keymakr prepares medical image and video datasets for AI training through specialized annotation workflows and quality control.

01. Quality Assurance

Quality assurance of teeth segmentation on a dental X-ray

Medical annotation requires consistent labeling criteria, particularly when datasets contain subtle findings or complex anatomical structures. Our quality control workflows can include sample reviews, cross-checks between annotators, and expert validation based on project requirements.

Annotation guidelines and review procedures are refined as needed to address disagreements and maintain consistency across the dataset.

02. Annotation Workflows for Complex Medical Data

Chest X-ray reviewed by a medical specialist

Medical AI projects may involve thousands of images, long surgical recordings, or multiple annotation layers within the same dataset. Our annotation workflows support detailed labeling and review processes designed around the structure, volume, and technical requirements of each project.

From pixel-level segmentation to frame-by-frame video annotation, the workflow is adapted to the task rather than forcing different datasets into a single approach.

03. Medical Expertise and Specialized Review

Brain CT scans with annotated regions for specialized medical review

Some annotation tasks require an understanding of anatomy, pathology, or clinical terminology that goes beyond general image labeling. Depending on project requirements, qualified medical professionals, domain specialists, and specially trained annotators can contribute to annotation and review.

The required level of expertise is defined for each project, with specialist involvement determined by the complexity of the task and the validation criteria.

04. Medical Imaging Data for AI Development

Annotated ultrasound scan from a medical imaging dataset

Access to suitable, well-structured medical imaging data can be a major challenge for computer vision teams. Depending on project scope and data availability, Keymakr can help prepare datasets involving X-rays, CT scans, MRI, pathology images, and medical video.

Data sourcing, annotation, and validation requirements are established according to the intended use of the dataset, applicable permissions, and the technical needs of the model.

Reviews
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"Delivering Quality and Excellence"

The upside of working with Keymakr is their strategy to annotations. You are given a sample of work to correct before they begin on the big batches. This saves all parties time and...

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"Great service, fair price"

Ability to accommodate different and not consistent workflows.
Ability to scale up as well as scale down.
All the data was in the custom format that...

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"Awesome Labeling for ML"

I have worked with Keymakr for about 2 years on several segmentation tasks.
They always provide excellent edge alignment, consistency, and speed...

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Medical Data Annotation

Medical Image Analysis

Train computer vision models on annotated X-rays, CT scans, and MRI images to identify and localize findings such as fractures, lesions, and other regions of interest.

Digital Pathology

Prepare annotated pathology images for medical embedded vision systems to help computer models identify cells, tissue structures, and regions associated with specific pathological findings.

Surgical AI vision systems

Annotate surgical video to identify instruments, anatomical structures, and procedural actions. Get support for the development of computer vision systems for surgical workflow analysis and intraoperative assistance.

Patient Monitoring

Label relevant events and movements in hospital or care settings to help models detect events such as patient falls, recognize movement patterns, and support safety monitoring.

3D Medical Image Analysis

Prepare volumetric CT and MRI data with annotations of organs, lesions, and other anatomical structures. Three-dimensional labels can support models that analyze spatial relationships and the extent of structures across multiple slices.

AI agents for healthcare

Deploy agents that analyze patient data, flag critical cases, and streamline clinical workflows to support medical teams effectively.