Controlled Illumination — DermaLight AI is an AI-powered optical dermatology suite that non-invasively assesses skin surface and sub-surface condition using a standard smartphone camera and controlled illumination. Five modules use different light types (blue, UV-A, cross-polarized, white, near-IR) to provide multi-layer optical information.

Optical signatures in skin — fluorescence, polarization, spectral reflectance and near-IR absorption — reveal different tissue layers and components at different wavelengths. DermaLight AI quantifies these signatures through spectral and frequency-domain analysis to compute PpIX fluorescence, vascular pattern, melanin/erythema indices, capillary morphology and tissue oxygenation.

Core Capabilities

• Multi-layer optical assessment with 5 light types (blue/UV-A/polarized/white/near-IR)
• Wood lamp fluorescence simulation, cross-polarized dermis, spectral indices, capillaroscopy and oxygenation
• Mobile-first, hardware-independent — built-in camera and low-cost light sources
• Perfusion-aware wound and PDT response tracking integrated with WoundGuard/PhotoGuard

The platform combines image processing and large language model (LLM)-based multimodal inference. Images captured with controlled light sources (blue LED, UV-A, polarized filter, white LED, near-IR 850nm) are separated into optical information from different tissue layers.

Processing Flow

• Image capture & quality audit (brightness, contrast, sharpness, light-type verification)
• Light-type-specific pre-processing (fluorescence/polarization/spectral/capillary/oxygenation)
• Multimodal LLM inference: parameter score, distribution pattern, clinical commentary
• Module-based summary metrics and integration output

Software-Centric Architecture

DermaLight AI provides 5 optical modules. Each module uses a different light type and analysis method to assess different layers and components of the skin. Results are reported as score (0-100), distribution pattern and clinical commentary.

Output Format

• Per module: score (0-100), distribution pattern, clinical commentary
• Module-based summary metrics and integration output
• Perfusion-aware integration with WoundGuard/PhotoGuard
• Printable full report (PDF) and longitudinal trend chart

The platform supports clinical workflows as a screening and pre-triage tool. Optical parameter mapping 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 optical dermatology, fluorescence, polarized imaging, spectral analysis, capillaroscopy and tissue oxygenation. The DermaLight AI suite draws inspiration from this literature but does not replace these methods.