Aptan.ai provides comprehensive AI data services tailored to dermatological care, enabling the development of precise, scalable, and clinically validated dermatology AI solutions.
Our services combine domain-driven clinical expertise, high-fidelity annotation pipelines, rigorous QA frameworks, and uncompromising compliance standards.
What We Provide
Skin & Dermoscopic Imaging Annotation
- Pixel-accurate labeling of clinical dermatology images and dermoscopy scans
- Segmentation of lesions, skin layers, borders, and affected regions
- Annotation of morphological patterns (pigment network, globules, streaks, vascular structures)
- Labeling of texture, color distribution, asymmetry, and irregularity markers
- Identification of benign vs malignant indicators and high-risk visual cues
Histopathology & Biopsy Slide Labeling
- Precise labeling of skin biopsy and digital pathology slides
- Region-level annotation of epidermal, dermal, and subcutaneous abnormalities
- Identification of inflammation, granulomas, dysplasia, mitotic figures, and tumor regions
- Support for AI models targeting melanoma, SCC, BCC, dermatitis, and autoimmune pathology
Clinical Note & Dermatology Report Structuring
- Labeling of dermatology-specific clinical narratives, OP notes, and diagnostic reports
- Extraction and structuring of symptoms, duration, recurrence, triggers, and lesion descriptors
- Annotation of Fitzpatrick skin type, body site, lifestyle factors, and family history
- Structuring of lab parameters relevant to dermatology (IgE, ANA, hormones, vitamins, fungal tests)
Disease Classification & Severity Grading
- Dataset labeling for acne, psoriasis, eczema, vitiligo, melasma, urticaria, alopecia, and skin cancers
- Severity and progression annotation (e.g., PASI score, acne grading, SCORAD index)
- Longitudinal labeling to support disease evolution tracking and treatment response modeling
- Support for AI-powered personalized dermatology care and prognosis prediction
Treatment Pathway & Outcome Annotation
- Labeling of therapeutic interventions including topicals, systemic drugs, biologics, and laser procedures
- Annotation of adverse reactions, remission cycles, flare-ups, and response timelines
- Structuring of clinical outcomes for AI models in decision support and precision dermatology
Multi-Modal Dermatology Data Alignment
- Fusion of clinical images, dermoscopy, pathology, lab data, and text into unified AI-ready datasets
- Context-aware labeling for foundation models and advanced dermatology AI systems
- Cross-modal consistency mapping to support explainable and clinically aligned AI outputs
Quality Assurance & Clinical Validation
- Dermatologist-led review loops for clinical accuracy
- Multi-stage QA checks including lesion boundary validation and diagnostic cross-verification
- Secure, encrypted, compliant, and audit-ready dataset delivery
- Scalable pipelines built to meet global medical AI regulatory expectations
Key Use Cases
- AI-driven skin cancer detection and classification
- Acne severity analysis and treatment response prediction
- Psoriasis and eczema progression & flare prediction
- Pigmentation disorder assessment (melasma, vitiligo, etc.)
- Hair and scalp disorder AI modeling
- AI-assisted dermoscopy interpretation
- Remote dermatology screening and clinical decision support
- Preventive dermatology and risk stratification tools
With clinically verified data and scalable annotation systems, Aptan.ai accelerates dermatology AI innovation that clinicians trust and patients depend on.