AI-Based Dermatology Module Suite2026
Thirteen integrated AI modules: allergy tracking, vibroacoustic tissue analysis, dynamic skin analysis, lesion tracking, longevity analysis, patch-test digital tracking, nail and scalp disease screening, wound care tracking, acne tracking, cosmetic assessment, AI differential diagnosis and occupational skin protection — under one hardware-independent roof.
The Odiosoft Dermatology Suite consists of thirteen AI-assisted modules that produce clinically meaningful dermatological assessments using the smartphone/tablet camera, microphone, accelerometer and vibration motor. All modules are hardware-independent; no extra medical device required. The web-based (SaaS) architecture unifies in-clinic screening, remote consultation and longitudinal tracking on a single platform.
EczemaTrack for atopic dermatitis severity tracking; AllerGuard for cosmetic ingredient safety scanning; AllerTrack for product-lesion cross-analysis.
FFT-based skin mechanical analysis via phone vibration motor and accelerometer; scleroderma, edema, scar and lesion screening support.
Skin health score, biological age, zone-based parameter mapping and heatmap from a face photo; cross-polarization simulation for surface and sub-surface assessment.
Contactless lesion photography with smartphone camera, AI-based ABCDE analysis, longitudinal tracking, UV correlation and differential diagnosis support.
Biological age, oxidative stress and personalized longevity strategy from skin and voice biomarkers.
AI ICDRG score reading from patch-test photo; 48h/72h/96h reading trend and panel-based allergen matching.
AI-powered nail disease screening (onychomycosis, psoriasis, melanonychia), nail health scoring and cosmetic product allergen tracking — all in one mobile platform.
AI-powered scalp & hair disease screening (alopecia, psoriasis, dermatitis), hair health scoring and cosmetic product allergen tracking — all in one platform.
AI-assisted wound care platform producing non-contact planimetry, tissue composition, infection risk (NERDS/STONEES), exudate status and healing prediction from a wound photo.
AI-assisted acne tracking platform performing lesion counting, zone mapping, IGA/GAGS severity scoring, scar/PIH risk analysis and treatment response prediction from an acne photo.
AI-assisted aesthetic dermatology platform offering glow, pore, tone, wrinkle, hydration and botox/filler suitability analysis from a skin photo under one roof.
2-step dermatological diagnosis software that performs AI differential diagnosis and computes disease-specific clinical parameters (PASI, EASI, IGA, VASI, mMASI) from a skin lesion photo.
AI-assisted occupational dermatology platform performing contact dermatitis detection, skin barrier damage, occupational UV exposure, chemical allergen matching and occupational disease suspicion documentation from an occupational skin photo.
EczemaTrack for atopic dermatitis severity tracking; AllerGuard for cosmetic ingredient safety scanning; AllerTrack for product-lesion cross-analysis.
- EczemaTrack: BSA involvement %, erythema/edema/exudate/lichenification scores (0-3), PO-SCORAD (0-103) and EASI (0-72) from lesion photo
- AllerGuard: OCR reading of cosmetic/skincare barcode or label; cross-match with patient allergens
- AllerTrack: Joint analysis of product label and lesion photo; per-ingredient risk % and mechanism
- Patient allergen profile storage; risk level (low/medium/high) and safe alternatives per scan
- Multimodal LLM: Image + OCR + large language model in one inference; reading, risk score and commentary together
- Barcode (EAN/UPC) reading from image; product name/brand confirmed via online database
- Longitudinal severity tracking: PO-SCORAD/EASI change over time in trend charts
- Ingredient mechanism classification: irritant, sensitizer, barrier disruptor
- Atopic dermatitis flare tracking and treatment response monitoring
- Cosmetic/skincare product safety assessment and safe alternative suggestions
- Product-lesion relationship detection (suspected contact dermatitis)
- Matching known allergens from patch tests with product ingredients
FFT-based skin mechanical analysis via phone vibration motor and accelerometer; scleroderma, edema, scar and lesion screening support.
- Resonance frequency (Hz) — high = stiff/fibrotic skin
- Q-factor — low = heterogeneous tissue; bandwidth (Hz)
- Damping — high = edematous/fluid accumulation
- Stiffness index (resonance/reference) and viscoelastic estimate (1/damping)
- Mechanical transmission (accel RMS/reference) — high = compact/dense tissue
- Hardware-independent mechanical analysis via phone vibration motor + accelerometer
- FFT-based transfer function spectrum ({f, db} array)
- Clinical scenario selection: scleroderma, edema, scar, aging, lesion screening, inflammation, steroid tracking
- Body region selection (head+neck, arm, leg, abdomen, back, scar, lesion) with region detail
- Scleroderma scoring and fibrosis screening
- Edema and fluid accumulation assessment
- Scar and wound healing tracking
- Steroid effect/atrophy tracking and aging effect assessment
Skin health score, biological age, zone-based parameter mapping and heatmap from a face photo; cross-polarization simulation for surface and sub-surface assessment.
- Skin health score (0-100), biological age estimate and aging-speed indicator
- Zone-based (forehead, cheek, nose, chin, under-eye) percentage score and heatmap
- Surface: pigmentation, inflammation, pore, sebum; Structure: collagen, wrinkles, vascular/telangiectasia
- Pigment: melanin evenness, UV damage, post-acne; Barrier: TEWL, hydration, barrier integrity
- Functional: dark circles, edema, uneven tone; Advanced: asymmetry, conjunctiva, hair/brow thinning
- Optional side profile: asymmetry, jawline, neck skin and profile wrinkles
- Cross-polarization digital simulation — sub-surface assessment without polarized filters
- Multimodal LLM inference: parameter %, description, severity, zone scores, clinical commentary
- Hardware-independent: runs only on the device's built-in camera; no extra medical hardware
- AI risk tier (low/medium/high) + differential diagnosis panel (primary suspect, alternatives, confidence)
- Printable full report (PDF) and longitudinal trend chart
- In-clinic screening and community-based early skin-cancer screening support
- Teledermatology and postoperative/medical skin follow-up
- Personalized skincare plan and treatment response monitoring
- Longitudinal skin change monitoring and anti-aging tracking
Contactless lesion photography with smartphone camera, AI-based ABCDE analysis, longitudinal tracking, UV correlation and differential diagnosis support.
- AI-based ABCDE analysis: asymmetry, border, color, diameter (mm), evolution — 0-100 score and severity
- Longitudinal tracking: ∆ diameter, ∆ color, ∆ border metrics and automatic trend chart
- UV correlation: patient geographic location / seasonal UV index risk stratification
- Differential diagnosis panel: primary suspect, alternatives, confidence (%) and recommendation
- Risk tier: low / moderate / high — automatic classification
- Image quality audit: brightness, contrast, sharpness and lesion bounding box
- Contactless lesion photography with smartphone camera — no dermatoscopy/probe required
- Overlay alignment: photos of the same lesion over time are automatically overlaid to visualize change
- Automatic early warning when flare or abnormal change is detected
- AI risk tier + differential diagnosis panel (primary suspect, alternatives, confidence)
- Physician approval requirement: mandatory physician approval before recording high-risk lesions
- In-clinic screening and community-based early skin-cancer screening support
- Nevus/lesion longitudinal tracking — early detection of suspicious changes
- Reducing unnecessary biopsies — monitoring of stable lesions
- Referral of high-risk cases to specialists — triage and prioritization ease
- Teledermatology: remote consultation and recording from mobile devices
Biological age, oxidative stress and personalized longevity strategy from skin and voice biomarkers.
- Biological age estimate (skin parameters + voice biomarkers)
- Oxidative stress and mitochondrial energy indicators
- Sleep quality, cortisol, immunity and neck elasticity
- Personalized longevity strategy recommendation
- Skin + voice multimodal biomarker fusion — longevity profile from a single image/audio record
- Visual biological age estimate and aging-speed indicator
- Indirect estimation of cortisol/sleep/oxidative stress via skin parameters
- Personalized, data-driven longevity strategy generation
- Anti-aging tracking and preventive dermatology
- Wellness and lifestyle consulting support
- Treatment/protocol response monitoring (longitudinal)
- Risk-stratified prevention strategy
AI ICDRG score reading from patch-test photo; 48h/72h/96h reading trend and panel-based allergen matching.
- AI allergen list reading from patch-test panel photo
- ICDRG score classification: negative, doubtful, weak (+), strong (++), extreme (+++)
- Erythema, papule, vesicle and reaction area (mm²) measurements
- 48h / 72h / 96h reading time points and longitudinal trend
- Panel-based allergen matching and chamber position (chamber_x/chamber_y)
- AI photo reading — reduces manual reading burden; automatic ICDRG score classification
- 3 time-point comparison and AI trend analysis (48h→72h→96h)
- Integrated record of panel photo + back photo + reading photos
- Panel template storage (e.g. European Standard Test 1) and reuse
- Patch-test reading support in allergic contact dermatitis diagnosis
- Improving reading consistency and reducing interobserver variability
- Allergen-treatment matching for treatment planning
- Longitudinal tracking and post-treatment reactivation assessment
AI-powered nail disease screening (onychomycosis, psoriasis, melanonychia), nail health scoring and cosmetic product allergen tracking — all in one mobile platform.
- Disease screening: onychomycosis, psoriasis, melanonychia, onycholysis, ingrown nail
- ABCDEF criteria for melanonychia malignancy assessment
- Health score: brittleness, yellowing, thickness/hardness, shape, cuticle health
- Product allergen: OCR ingredient reading + toxin/allergen flagging (PPD, formaldehyde, toluene, DBP)
- Free-claim verification: 3/5/10-Free claim check and exposure/barrier-damage risk score
- Multimodal LLM: Image processing + large language model for nail localization and disease mapping
- Hardware-independent: runs only on the device's built-in camera; no dermatoscopy required
- ABCDEF melanonychia assessment + AI risk tier (low/moderate/high)
- Longitudinal trend: nail change monitoring and cosmetic product safety tracking
- In-clinic screening and community-based nail disease early screening support
- Teledermatology and remote nail tracking
- Cosmetic product (nail polish, acetone, hand cream) ingredient allergen scanning and patient profile matching
- Referral of suspected melanonychia malignancy cases to specialists
AI-powered scalp & hair disease screening (alopecia, psoriasis, dermatitis), hair health scoring and cosmetic product allergen tracking — all in one platform.
- Disease screening: androgenetic alopecia, areata, tinea capitis, seborrheic dermatitis, FFA, lichen planopilaris
- Norwood (male) and Ludwig (female) staging + miniaturization score + scarring alopecia suspicion
- Health score: density, thickness, sebum, dandruff, erythema, anagen/telogen, brittleness, shine
- Product allergen: OCR ingredient reading + PPD/SLS/paraben/ammonia flagging
- Free-claim verification: sulfate-free/paraben-free/ammonia-free claim check and scalp sensitivity risk score
- Multimodal LLM: Image processing + large language model for scalp localization and disease mapping
- Hardware-independent: runs only on the device's built-in camera; no trichoscopy required
- Norwood/Ludwig staging + miniaturization score + scarring alopecia assessment
- Longitudinal trend: hair-loss change monitoring and cosmetic product safety tracking
- In-clinic screening and community-based hair-loss early screening support
- Teledermatology and remote scalp tracking
- Cosmetic product (shampoo, hair dye, conditioner) ingredient allergen scanning and patient profile matching
- Urgent referral of suspected scarring alopecia cases to specialists
AI-assisted wound care platform producing non-contact planimetry, tissue composition, infection risk (NERDS/STONEES), exudate status and healing prediction from a wound photo.
- Track — Planimetry: Wound area (cm²), perimeter, depth, weekly healing rate
- Tissue — Tissue Composition: Granulation, fibrin/slough, necrosis, epithelialization, ICW color coding
- Infection — NERDS & STONEES criteria, erythema/edema score, purulent drainage, biofilm suspicion
- Exudate — Exudate amount/type, odor, recommended dressing (foam/hydrofiber/alginate/silver/NPWT)
- Heal — 12-week closure probability, 4-week closure rate, stagnation warning
- Image processing + LLM inference for planimetry, tissue composition and infection score
- Customized care recommendations by wound type (venous/arterial/diabetic/pressure/surgical/traumatic/burn)
- Patient risk factors (diabetes, PAD, immunosuppression, malnutrition, age) integrated into healing prediction
- Longitudinal trend: wound area, healing rate and infection score comparison over time
- Chronic wound (venous/arterial/diabetic foot/pressure) tracking and care protocol optimization
- Systematic infection assessment with NERDS/STONEES scoring and systemic treatment indication
- Stagnation warning at <30% reduction in 4 weeks and protocol review recommendation
- Teleconsultation: specialist opinion and urgency level documentation
AI-assisted acne tracking platform performing lesion counting, zone mapping, IGA/GAGS severity scoring, scar/PIH risk analysis and treatment response prediction from an acne photo.
- Lesion counting: papule/pustule/comedo/nodule, inflammatory/comedo counts, BSA involvement %
- IGA (0-4) and GAGS (0-30+) severity scoring + severity level classification
- Facial zone map: forehead, T-zone, cheeks, nose, chin, jawline + lesion overlay
- Scar risk score (0-100) and PIH risk score (0-100) for post-acne complication risk
- Multi-angle (front + right/left side) capture support and zone-based distribution analysis
- Image processing + LLM for lesion counting, zone mapping and severity scoring in one inference
- Trend analysis: cross-session lesion/score comparison and treatment response monitoring
- Response prediction: healing rate from historical data, predicted weeks to 75% reduction, stagnation warning
- Product scanner (OCR) and acne diary for trigger (stress/sleep/menstrual/diet) correlation
- Acne severity classification (IGA/GAGS) and treatment response monitoring
- Zone-based acne distribution assessment and personalized treatment plan
- Post-acne scar and PIH risk assessment for early prevention
- Pre-post treatment comparison and response reduction (%) calculation
AI-assisted aesthetic dermatology platform offering glow, pore, tone, wrinkle, hydration and botox/filler suitability analysis from a skin photo under one roof.
- GlowTrack — Skin glow score (0-100), surface smoothness, pore visibility, Fitzpatrick phototype
- PoreGuard — Pore count/size/density, T/U-zone sebum score, niacinamide compatibility
- ToneGuard — Melanin/erythema index, ITA° tone classification, pigmentation type, brightening response
- LineGuard — Wrinkle count/depth, collagen fluorescence, elasticity proxy, porphyrin/P.acnes
- HydrGuard — Hydration proxy, barrier damage, TEWL proxy, moisturizer frequency recommendation
- Image processing + LLM for cosmetic parameters, skin type classification and procedure suitability in one inference
- Personalized product recommendations via Fitzpatrick phototype and Rook/Christie skin type classification
- Botox & Filler module: suitability score, botox areas/unit estimate, filler type recommendation
- Longitudinal trend: pre-post product response (%) and pre-post procedure change tracking
- Personalized skincare plan and cosmetic product response monitoring
- Botox/filler procedure suitability assessment and contraindication screening
- Patient allergen profile integration for safe cosmetic product selection
- Anti-aging tracking and aesthetic procedure pre-post assessment
2-step dermatological diagnosis software that performs AI differential diagnosis and computes disease-specific clinical parameters (PASI, EASI, IGA, VASI, mMASI) from a skin lesion photo.
- Step 1 — AI Differential Diagnosis: Primary diagnosis, differentials, confidence % (0-100), severity, key findings, recommended actions
- Step 2 — Disease-Specific Parameters: Psoriasis → BSA+PASI, atopic dermatitis → EASI+SCORAD, acne → IGA+GAGS, vitiligo → VASI, melasma → mMASI
- Dynamic parameter groups automatically selected per disease (ROSCO, ICDRG, etc.)
- Patient list: past analyses of registered patients and trend charts
- 3-language support: Turkish, English and German interface and AI results
- 2-step AI analysis: first diagnosis, then disease-specific parameters — from a single lesion photo
- Image processing + LLM inference for differential diagnosis and disease-specific scoring
- Appropriate scoring system auto-selected per disease (PASI, EASI, IGA, VASI, mMASI, ROSCO, ICDRG)
- AI trend analysis automatically evaluates the patient's changes over time
- Fast and objective dermatological assessment — differential diagnosis + disease-specific parameters
- Automatic scoring for psoriasis, atopic dermatitis, acne, vitiligo, melasma and more
- Longitudinal patient tracking: diagnosis confidence and severity trend charts
- Clinical decision support — final diagnosis and treatment decisions belong to the specialist
AI-assisted occupational dermatology platform performing contact dermatitis detection, skin barrier damage, occupational UV exposure, chemical allergen matching and occupational disease suspicion documentation from an occupational skin photo.
- ContactGuard — Contact dermatitis type, ICDRG severity, erythema/infiltration/vesicle/scaling score, occupational substance list
- BarrierGuard — TEWL proxy, desquamation, fissure, hydration proxy, barrier damage, weekly wet work hours
- UV-WorkGuard — Acute/chronic UV damage, skin cancer risk proxy, ITA°, actinic keratosis suspicion
- ChemGuard — Occupational allergens (chromate, cobalt, nickel, formaldehyde), safe glove/cream recommendation
- WorkTrend — Occupational category, recurrence rate (%), BK suspicion, BK code, causal assessment
- Image processing + LLM for dermatitis scoring, barrier assessment and allergen matching
- German Berufskrankheiten (BK) list-referenced BK 5101/5102 suspicion documentation
- Customization by occupational category (hairdresser, mason, roofer, cleaner, healthcare)
- Longitudinal trend: erythema, barrier damage, UV damage and allergen exposure comparison over time
- Occupational contact dermatitis assessment and ICDRG severity scoring
- Occupational UV damage and skin cancer risk assessment (actinic keratosis suspicion)
- Allergen profile integration for safe protective glove and skin protection cream recommendations
- BK suspicion report documentation and teleconsultation (Betriebsarzt/Dermatologist)
Suite Whole: Ease of Clinical Workflow
Thirteen modules combine on a single platform to streamline the dermatology clinical workflow end-to-end: