Derma-S — Scientific Brochure
ODIOSOFT DERMATOLOGY

Derma-S

AI-assisted dermatological diagnosis software that performs differential diagnosis and computes disease-specific clinical parameters from skin lesion photos.

AI-Powered Dermatological Differential Diagnosis Platform
AI Differential DiagnosisDisease-Specific ParametersPASI / EASI / IGA3-Language Support
CONTENTS
1What is Derma-S?
2How to Capture
3Analysis Steps
4Patient Tracking & Trend
5Dermatological Decision Support
6AI Assistance & Workflow
7Privacy & Responsibility
VISION
Make dermatological assessment objective, reproducible and accessible — generate disease-specific clinical parameters from every lesion photo.
USAGE
Upload a lesion photo and press Analyze. The system first determines the AI differential diagnosis, then computes disease-specific parameters.
OVERVIEW

What is Derma-S?

Derma-S is an AI-assisted dermatological diagnosis software that performs differential diagnosis and computes disease-specific clinical parameters from skin lesion photos.

WORKFLOW

Lesion Photo
→
AI Differential Diagnosis
→
Primary Diagnosis
→
Disease-Specific Parameters
→
Clinical Commentary
→
Patient Tracking

The system works in 2 steps: 1) AI differential diagnosis (primary diagnosis, differentials, confidence score, severity, key findings, recommended actions), 2) Disease-specific parameters (e.g: psoriasis → BSA + PASI, atopic dermatitis → EASI + SCORAD, acne → IGA + GAGS).

These values support clinical decisions; they do not replace a dermatologist's assessment.

Why Derma-S?
Structures dermatological assessment in 2 steps — first identifies possible diagnoses, then automatically selects the appropriate scoring system. Provides fast and objective decision support to the physician.
CAPTURE GUIDE

How to Capture

Skin lesion photos should clearly show the lesion area. Capture with good lighting and focus.

Frame: lesion region
📏
15-30 cm
👁
Parallel angle

When you press Analyze, the system first determines the diagnosis, then computes disease-specific parameters.

  • Photograph the lesion area directly and clearly
  • Ensure good lighting, no filters
  • Frame the entire lesion area
  • If possible, capture with a scale reference (e.g: ruler)
MODULES

Analysis Steps

Derma-S works with a 2-step AI analysis. Each step covers a different dimension of dermatological assessment.

Step 1 — AI Differential Diagnosis
Primary diagnosis, differential diagnoses, confidence (0-100), severity (low/moderate/high/critical), key findings, recommended actions
Step 2 — Disease-Specific Parameters
Dynamic parameter groups based on primary diagnosis (e.g: psoriasis → BSA Planimetry + PASI, atopic dermatitis → EASI + SCORAD, acne → IGA + GAGS, vitiligo → VASI, melasma → mMASI)
Patient List
Past analyses of registered patients, trend charts and AI trend analysis
3-Language Support
All interface and AI results in Turkish, English and German
TRACKING

Patient Tracking & Trend

Derma-S Patient List shows past analyses of the same patient. Diagnosis confidence and severity trend charts are provided.

AI trend analysis automatically evaluates the patient's changes over time.

Past Analyses
All records of the same patient listed chronologically
Trend Charts
Diagnosis confidence and severity visualized over time
AI Trend Analysis
Patient changes evaluated with automatic clinical commentary
CLINICAL SUPPORT

Dermatological Decision Support

Derma-S identifies possible diagnoses with AI differential diagnosis and computes disease-specific clinical parameters. This gives the physician a fast and objective assessment.

CLINICAL FLOW

Lesion
→
AI Diagnosis
→
Disease-Specific Params
→
Clinical Commentary
→
Follow-up

The appropriate scoring system is automatically selected for each disease (PASI, EASI, IGA, VASI, mMASI, ROSCO, ICDRG, etc.).

Safety

  • AI assessment — not a clinical diagnosis
  • Patient data isolated with RLS
  • GDPR compliance
  • Dermatologist consultation recommended
AI TECHNOLOGY

AI Assistance & Workflow

Derma-S runs on image processing + LLM-based inference. The AI produces differential diagnosis and disease-specific parameters.

AI models can make errors. Results support a dermatologist's clinical assessment.

ARCHITECTURE COMPONENTS

Image Processing
Feature extraction from lesion photos
LLM Inference
Differential diagnosis + disease-specific parameter generation
Dynamic Scoring
Auto-selection of PASI/EASI/IGA/VASI/mMASI by diagnosis
3-Language Output
Turkish, English, German interface and results
PRIVACY

Privacy & Responsibility

Derma-S stores patient data securely and isolated. All results are for clinical decision support.

Patient data isolated per user with RLS
GDPR compliance — data ownership with patient
AI results do not replace clinical diagnosis
Dermatologist consultation recommended
Derma-S
Odiosoft Dermatology — AI-assisted dermatological differential diagnosis