Medical imaging, clinical text, and doctor-patient conversation annotation, handled by trained annotators under strict confidentiality controls.
Segmentation and bounding-box labeling on X-ray, MRI, CT, and histopathology imagery for diagnostic models.
Entity extraction and classification on clinical notes, reports, and structured health records.
Transcription and intent labeling for clinical conversational AI, with strict de-identification protocols.
Healthcare data projects require project-specific privacy, consent, licensing, access and handling requirements. These requirements should be agreed before any data is transferred. Lusion AI does not claim HIPAA or other regulatory certification on this page.
A real annotation session labeling skin conditions — papules, pustules, marks, and scarring — tagged for a dermatology-focused computer vision model.
Lusion AI does not claim HIPAA or other regulatory certification on this page. Healthcare project privacy, consent, licensing, access and data-handling requirements should be reviewed and agreed before any data is transferred.
Access is limited to the specific annotators and QA leads assigned to your project, under signed confidentiality agreements, with activity logging.
Yes, and we recommend it where possible — we can also assist in scoping a de-identification step before annotation begins.
Share your requirements to discuss a suitable pilot and proposal scope.