Healthcare

Integrating Medical Expertise into Healthcare Data Workflows

We deliver medically-precise datasets through human-led workflows
shaped by clinical expertise and compliance.


Computer vision models for diagnostics and research
Developed in collaboration with practising clinicians
Aligned with GDPR & ISO certifications

Collaborating with innovative leaders in Healthcare

Median
Enlitic
Cardiologs
University Hospital of Basel
Kaist
Carestream Dental
Cerebriu
B-RayZ
Spimed-AI
Quantum Surgical
Milvue
Remedy Logic
Median
Enlitic
Cardiologs
University Hospital of Basel
Kaist
Carestream Dental
Cerebriu
B-RayZ
Spimed-AI
Quantum Surgical
Milvue
Remedy Logic
Median
Enlitic
Cardiologs
University Hospital of Basel
Kaist
Carestream Dental
Cerebriu
B-RayZ
Spimed-AI
Quantum Surgical
Milvue
Remedy Logic

Structuring Medical Imaging and Clinical Data for Healthcare

Specialised annotation and data preparation services to train computer vision models across radiology, pathology and cellular biology.

Radiology

MRI, CT, PET and X-ray for diagnostic, research and treatment workflows.

  • Organ-specific lesion and tumour segmentation
  • 3D anatomical modelling (CT/MRI)
  • Vessel, cardiac and MSK segmentation
  • ROI identification for detection and triage AI

Clinical Trials

Voxel-precise, protocol-driven imaging review and segmentation to support clinical trials.


  • Baseline and follow-up tumour segmentation
  • Inter-rater reliability and peer-review workflows
  • Multimodal PET/CT/MRI interpretation
  • Image standardisation for multi-site studies

Surgery

High-fidelity 3D segmentation for surgical planning, simulation and intraoperative decision support.


  • Organ and tissue modelling for digital twins
  • Pre-operative anatomical mapping
  • Vessel and nerve-pathway delineation
  • Measurement sets for surgical planning

Dental

Annotation and image structuring for diagnostic dentistry and automated dental assessment tools.


  • Tooth classification and numbering
  • Detection of caries, fractures, implants and restorations
  • Segmentation of jaws, roots and sinuses
  • Landmarking for orthodontic planning and alignment

Pathology

Cell-level annotation and biomarker mapping for AI models in histopathology, oncology and precision medicine.


  • Nuclear and cellular segmentation
  • Biomarker and region-specific annotation
  • Landmark-based morphology analysis
  • High-resolution tile classification for whole-slide images

Clinical-Grade Imaging Annotation
Across Organ Systems

Our radiology teams apply organ-specific protocols across MRI, CT, PET and X-ray studies to support healthcare data innovation.

Lung

Comprehensive Lesion Coverage

Segmentation across 18 lesion types, including nodules, emphysema, ground-glass opacities, irregular reticulation and septal thickening.

Clinically Defined Protocols

Annotation rules specify minimum lesion size, lesion boundaries and edge-case handling to maintain clinical relevance.

Accuracy for Challenging Cases

Workflows designed to optimise segmentation in diffuse or complex presentations, ensuring consistency across large imaging datasets.

Brain

Voxel-Precise Segmentation

Detailed annotation of infarcts, haemorrhages, tumours, cysts and other abnormalities across diverse CT and MRI sequences.

Structured Clinical Protocols

Protocols capture lesion type, volume and anatomical positioning, ensuring consistent interpretation across complex neuroimaging.

Expanded Regions of Interest

Support for additional ROIs such as aneurysms, fractures and atrophy to enable comprehensive neurological analysis.

Liver

Diagnostic and Interventional Support

Segmentation workflows tailored for diagnostic radiology and interventional procedures, including hepatocellular carcinoma and tumour ablation.

Anatomical Precision

Accurate delineation of liver interfaces such as parenchyma regions and portal vein territories, even in variable or complex cases.

Handling Clinical Variability

Processes adapted for challenges like fibrosis, fat content and atypical tumour boundaries to maintain consistent segmentation quality.

Vascular

Agnostic Vessel Segmentation

Segmentation across head & neck, thorax, abdomen, and lower limbs, covering major vessels and complex anatomical regions.

Critical Structure Analysis

Support for aorta-focused projects, including precise diameter measurements essential for aneurysm evaluation and clinical modelling.

Validated 3D Workflows

Voxel-level segmentation refined by radiologists, with optional pre-segmentation techniques for efficient review and adjustment.

Cardiac

Coronary CT Angiogram Analysis

Segmentation of cardiac structures to support stenosis detection and detailed assessment of coronary vessels.

3D Digital Twin Generation

Workflows designed to produce 3D models of the heart, enabling advanced planning and evaluation in cardiac imaging.

Precise Anatomical Delineation

Annotation of key areas including the endocardium, epicardium, ventricles and valves at both end-systole and end-diastole for complete functional analysis.

Muscoloskeletal

Comprehensive Fracture Identification

Annotation of subtle and complex fractures across chest and skeletal imaging, including hairline and low-contrast cases.

Landmark and Structural Analysis

Use of landmarks, polygons, and bounding boxes to assess bone alignment, cartilage structures and anatomical relationships.

Support for Diagnostic Challenges

Workflows adapted to overlapping structures, variable visibility and healing-stage differentiation to ensure consistent interpretation.

Others

Broad Modality Coverage

Annotation across additional organs and modalities, including spleen, kidneys, breast, ultrasound and PET imaging.

Integration of Clinical Reports

Use of DICOM metadata and radiology reports to refine region selection and ensure clinically relevant annotations.

Refinement by Domain Experts

Pre-segmented datasets reviewed and adjusted by radiologists and technologists to maintain accuracy across diverse imaging contexts.

Medical Expertise
Built into a Compliant Data Frameworks

How we train and deploy advanced medical AI systems.

Intake & Compliance Setup

Every project begins with GDPR, and ISO compliance, ensuring security and regulatory alignment.
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Intake & Compliance Setup

Domain Expertise

Project protocols are defined by medical specialists like radiologists and cyto-technicians, to ensure clinical relevance and consistency.
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Domain Expertise

Quality Assurance

Human-led teams annotate and review datasets, with quality checks and peer review to ensure accuracy and consistency.
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Quality Assurance

Feedback & Iteration

Processes are refined through expert input and client feedback, with teams scaled to match project needs.
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Feedback & Iteration

Deliverables

Final datasets are delivered with documented processes, ensuring high quality consistency and compliance.
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Deliverables
IngeData's team of expert radiologists delivered precise, consistent annotations across more than 600 cases, with impressive efficiency. This project represents a major step forward in developing robust, clinically relevant AI models for breast cancer detection.
Jakob Wasserthal
We have successfully partnered with Ingedata on multiple projects covering hundreds of CT scans. By setting up a team of radiologists with project managers in the long run, we have achieved very high quality and swift execution of the projects. This setup builds trust and alleviates a lot of the burden during training and ramp up, with constant feedback helping to improve the annotation set up. We have obtained consistent and clean results both in complex protocols and precise segmentations.
Benjamin Renoust
Data and Knowledge Coordinator
Median Technologies

The Medical Experts
Behind Compliant Data Workflows

Our Healthcare data team includes trained medical specialists and project managers who understand the high stakes of Healthcare AI.

Our domain expertise ensures accurate interpretation of medical imaging and consistency across large-scale clinical datasets.
Leandro Tabao
Radiologist

Leandro Tabao

Lead radiologist across major projects, supporting feasibility and specification analysis and consistently delivering top-tier annotation performance
Sarah Agnes Mary Lim
Radiologist

Sarah Agnes Mary Lim

A reliable, versatile radiologist across multiple imaging modalities, recognized for her professionalism and consistent delivery
Scarlet Erngil Macalalag
Radiologist

Scarlet Erngil Macalalag

A longstanding collaborator since Ingedata’s very first medical project, driving multiple successful projects and offering dependable support throughout