Acne Assessment Platform — AcneTrack AI is an AI-powered imaging support tool that non-invasively assesses acne severity from a standard acne photograph. The system digitally performs lesion counting, zone mapping and risk analysis to provide objective acne quantification.

Texture and color signatures of acne lesions (papule, pustule, comedo, nodule) in the image are quantified by AI models. From multi-angle images, a facial zone map (forehead, T-zone, cheeks, nose, chin, jawline) and scar/PIH risk scores are extracted.

Core Capabilities

• Total lesion count (inflammatory + comedo + nodule/cyst)
• IGA (0-4) and GAGS (0-30+) clinical scoring
• BSA (Body Surface Area) involvement %
• Multi-angle zone map (forehead, T-zone, cheeks, nose, chin, jawline)
• Lesion overlay and distribution chart
• Scar and PIH risk scores (0-100)
• Treatment response prediction and stagnation warning
• Comedogenic product scanner (OCR + ingredient analysis)
• Acne diary with trigger correlation
• Allergen-safe product recommendations via PatientAllergenProfile

The platform combines image processing and large language model (LLM)-based multimodal inference. From a standard RGB image, lesions are counted and classified; from multi-angle images, a facial zone map and scar/PIH risk scores are extracted.

Processing Flow

• Image capture & quality audit (brightness, contrast, sharpness)
• Lesion segmentation and classification (papule/pustule/comedo/nodule)
• Multimodal LLM inference: lesion count, IGA/GAGS, BSA, severity, clinical commentary
• Zone Map & Risk: zone map, scar/PIH risk score, response prediction

Software-Centric Architecture

The platform consists of five specialized modules: Acne Tracking (multi-angle zone map), Trend, Response Prediction, Product Scanner and Acne Diary. Each parameter is reported as percentage/score, supporting both overall assessment and session-based treatment response.

Output Format

• Per module: scores, description, severity, clinical AI commentary
• Trend: time-series charts and cross-session comparison
• Patient allergen profile integration (PatientAllergenProfile)
• Printable full report (PDF) and longitudinal trend chart

The platform supports clinical workflows as a screening and treatment-response monitoring tool. Objective lesion quantification provides structured, reproducible and comparable data to the physician. Final diagnosis and treatment decisions always rest with the specialist physician.

Safety Architecture (Human-in-the-loop)

• AI output is not a diagnosis; it is information supporting the physician's assessment
• AI commentary does not contain prescription/treatment recommendations
• Per-patient data isolation (RLS) and KVKK/GDPR-aligned sensitive-data approach

Integration Scenarios

The software-centric architecture aligns with European Union carbon-reduction and ESG (Environmental, Social, Governance) goals. Hardware independence brings medical consumable use close to zero and reduces the carbon footprint from patients' physical travel through telemedicine.

Roadmap

The following studies establish the clinical validity and methodological foundations of image-based AI acne assessment and multi-angle zone map / risk-based acne tracking. Our AcneTrack AI platform draws inspiration from this literature but does not replace these methods.