Clinical-grade imaging and document annotation.
LabelFort provides HIPAA-compliant medical data annotation, native DICOM radiology (structured findings, measurements and landmarks), surgical video, clinical text and claims, delivered by domain-trained teams under clinician review, with IAA evidence and immutable audit trails that support FDA and EU AI Act documentation.
Healthcare AI carries a double evidentiary burden: patient data protection on the way in, and clinical validation evidence on the way out. Annotation sits at the center of both. This is what healthcare data annotation means at LabelFort: HIPAA-aligned controls, de-identification workflows, clinician review within the managed service, and per-study audit evidence, not a general annotation vendor doing best-effort compliance.
Radiology (X-ray, MRI, CT, native DICOM series with structured findings, measurements and landmarks), surgical and endoscopy video, clinical NLP and claims extraction run on the same governance primitives: role separation, purpose limitation by configuration, IAA scored per cohort with thresholds above 0.90, and evidence exports your quality-management system can file directly.
For teams facing EU AI Act exposure, CE-marked or MDR-regulated AI, or EU deployments, LabelFort maps annotation controls to Article 10 (data governance) and Article 12 (record-keeping) so the training-data section of your technical documentation writes itself.
Every clinical data type, the same evidence standard.
Using native DICOM annotation to make radiology AI audit ready
Medical image annotation here means structured findings, measurements, and landmarks placed directly on native DICOM series, not converted screenshots, so orientation, slice position, and study metadata survive the annotation process intact. Every finding carries the reviewer's identity and the criteria version it was scored against, the record a radiologist's clinical validation study or a QMS file actually needs.
Applying frame accurate tracking to surgical & endoscopy video
Frame accurate tracking and event annotation on surgical and endoscopy footage, instrument identification, tissue boundaries, procedural phase markers, scored under the same cohort level agreement standard as every other geometry LabelFort delivers. Long form procedure recordings get the same skip and scene navigation tooling built for any long clip, not a flat frame by frame slog.
Turning clinical notes into structured, defensible training data
Clinical NLP annotation covers entity extraction, classification, and structured field capture from clinical notes and records, handled by domain trained teams who recognize clinical terminology, not general annotators working from a glossary. Every judgment is dual reviewed and adjudicated against a written guideline, the same discipline applied to any other regulated text.
Applying instance & segmentation annotation to digital pathology
Whole slide pathology images and cell level microscopy get the same segmentation and instance detection LabelFort runs for any vision task, cell boundaries, tissue regions, mitotic figures, annotated at the resolution digital pathology actually needs. A single slide can carry thousands of individual cell instances, each one scored under the same cohort level agreement standard as a bounding box on a street scene, not a relaxed threshold because the image happens to be a microscope capture.
Extending the same governance to life sciences & pharma imaging
Drug discovery and biotech programs generate their own imaging and lab data, cell assays, compound screening plates, microscopy from R&D pipelines, that need the same domain trained review and audit trail as any clinical dataset, the same hipaa compliant data annotation discipline whether the customer is a hospital system or a biotech R&D team, not a lighter standard because the end use is research rather than direct patient care.
FAQs
Is LabelFort HIPAA compliant for medical annotation?
Yes, engineered to satisfy HIPAA with de-identification workflows, role-based access, purpose limitation, and immutable access logs, under an ISO 27001:2022-certified ISMS. A control mapping is provided during the Compliance Review.
Who reviews clinical annotations?
Domain-trained medical annotation teams work under clinician or specialist review within the managed service, with cohort-level Inter-Annotator Agreement reported as evidence.
Can LabelFort support FDA or MDR documentation?
LabelFort's evidence exports, audit trails, IAA reports, acceptance criteria, are designed to slot into clinical validation files and technical documentation. We map controls during the Compliance Review.
Ready to evaluate LabelFort against your regulator's checklist?
Begin with a one-hour Compliance Review to assess how our medical data & image annotation align with your regulatory checklist. We develop an evidence-grade proof of concept using your data & requirements. No open trials or pricing ambiguity.
Certifications & readiness
