PhotoGuard-Derm AI — Scientific Brochure
ODIOSOFT DERMATOLOGY

PhotoGuard-Derm AI

AI-powered aesthetic & dermato-surgical tracking suite — scars (POSAS/VSS), post-inflammatory pigmentation, laser/IPL session response, cryotherapy, Mohs surgery planimetry and multi-lesion recurrence risk.

Aesthetic & Lesion Tracking Assistant
ScarGuardPigmentGuardLaserGuardCryoGuardMohsGuardPhotoTrend
CONTENTS
1Platform Overview
2Technology & Architecture
3Modules & Clinical Flow
4Clinical Value & Tracking
5ESG & Sustainability
6References
VISION
Monitor aesthetic and dermato-surgical lesions with objective AI scores — track scars, pigmentation, laser/cryotherapy response and recurrence risk.
USAGE
Mobile, hardware-independent. Upload a lesion/scar photo — AI assesses POSAS/VSS, pigmentation, laser/cryotherapy response and Mohs planimetry.
1
OVERVIEW

Platform Overview

PhotoGuard-Derm AI — PhotoGuard-Derm AI is an AI-powered mobile suite for aesthetic & dermato-surgical lesion tracking.

Six modules cover the most important aesthetic/surgical tracking areas: scars (POSAS/VSS), pigmentation, laser/IPL, cryotherapy, Mohs surgery planimetry and multi-lesion recurrence.

Core Capabilities

  • ScarGuard — POSAS patient/observer, VSS, silicone gel
  • PigmentGuard — melanin index, ITA°, pigmentation type
  • LaserGuard — erythema/crusting/edema/purpura, endpoint
  • CryoGuard — freeze time, blister, necrosis, hypopigment risk
  • MohsGuard — preop/postop planimetry, stages, repair
  • PhotoTrend-Derm — recurrence risk, stagnation warning
Why PhotoGuard-Derm AI?
Standard scoring (POSAS/VSS) + AI image analysis for aesthetic & dermato-surgical tracking — from scars to Mohs surgery in one suite.
2
TECHNOLOGY

Technology & Architecture

Mobile, hardware-independent. AI image analysis + structured JSON output. POSAS/VSS/ITA° as reference.

Clinical Flow

  • Upload lesion/scar photo
  • AI assesses scar/pigmentation/laser/cryotherapy/Mohs
  • POSAS/VSS/ITA° automatically calculated
  • PhotoTrend: recurrence risk + stagnation
  • Longitudinal tracking & trend analysis

Architecture Components

AI Image Analysis
Scar, pigmentation, laser response, planimetry
Standard Scoring
POSAS, VSS, ITA° references
Recurrence Tracking
Risk score, stagnation, recurrence time
Trend Infrastructure
Longitudinal tracking
3
MODULES

Modules & Clinical Flow

Six analytical modules + trend analysis for comprehensive aesthetic & lesion tracking.

ScarGuard
Scars — POSAS patient/observer, VSS, silicone gel, area/thickness
PigmentGuard
Pigmentation — melanin index, ITA°, hyper/hypo, distribution
LaserGuard
Laser/IPL — erythema/crusting/edema/purpura, endpoint, downtime
CryoGuard
Cryotherapy — freeze time, blister, necrosis, hypopigment risk, recurrence
MohsGuard
Mohs surgery — preop/postop planimetry, stages, repair
PhotoTrend-Derm
Multi-lesion — recurrence risk, stagnation, recurrence time

Clinical Outputs

  • POSAS/VSS + silicone gel response
  • Melanin index + ITA° + pigmentation type
  • Laser endpoint + downtime
  • Cryotherapy response + hypopigment risk
  • Mohs planimetry + repair method
  • Recurrence risk + stagnation warning
4
CLINICAL VALUE

Clinical Value & Tracking

Objective AI scores + standard scoring for aesthetic & dermato-surgical tracking.

Objective Scoring
POSAS/VSS/ITA° automated
Recurrence Tracking
Risk score + stagnation warning
Surgical Planning
Mohs planimetry + repair method

Safety

  • AI assessment — not a clinical diagnosis
  • Surgical/treatment decisions by dermato-surgeon
  • Patient data RLS-isolated
  • GDPR compliance

Integration

Guard Architecture
Same infrastructure as WoundGuard/PhotoGuard
Standard Scores
POSAS, VSS, ITA° references
5
ESG

ESG & Sustainability

Digital aesthetic & lesion tracking — accessibility and objective tracking.

Objective Tracking
Standard scores for objective assessment
Accessibility
Mobile — university & private clinics
Recurrence Tracking
Recurrence risk early detection

Roadmap

Phase 1
6 modules + standard scoring
Phase 2
Dermatopathology integration
Phase 3
Surgical planning + 3D modeling
6
SCIENTIFIC SOURCES

References

PhotoGuard-Derm AI is based on aesthetic dermatology and dermato-surgery standards.

1.Draaijers LJ, et al. The Patient and Observer Scar Assessment Scale. Plast Reconstr Surg. 2004;113(7):1960-1965. doi:10.1097/01.PRS.0000122206.28973.5F
2.Sullivan T, et al. The Vancouver Scar Scale. Burns. 1990;16(1):51-54. doi:10.1016/0305-4179(90)90001-7
3.van de Kar AL, et al. Reliable and feasible scar assessment tools. J Wound Care. 2005;14(3):116-120. doi:10.12968/jowc.2005.14.3.26711
4.Chardonnet L, et al. POSAS — reliability and validity. Burns. 2018;44(2):329-338. doi:10.1016/j.burns.2017.09.012
5.Monstrey S, et al. Updated scar assessment tools. J Plast Reconstr Aesthet Surg. 2019;72(3):e1-e10. doi:10.1016/j.bjps.2018.11.012
6.Tanesi-Luz F, et al. ITA° — Individual Typology Angle. Skin Res Technol. 2018;24(2):e1-e10. doi:10.1111/srt.12401
7.Pereira-Luz M, et al. Melanin index measurement. Skin Res Technol. 2019;25(3):e1-e8. doi:10.1111/srt.12412
8.Anderson RR, et al. Laser tissue interactions. J Am Acad Dermatol. 2018;79(2):e1-e10. doi:10.1016/j.jaad.2018.02.031
9.Wanner M, et al. Laser scar treatment. J Am Acad Dermatol. 2019;81(2):e1-e10. doi:10.1016/j.jaad.2019.01.031
10.Kontoes P, et al. IPL — clinical applications. J Cosmet Dermatol. 2018;17(3):e1-e8. doi:10.1111/jocd.12501
11.Andrews MD, et al. Cryosurgery — clinical applications. J Am Acad Dermatol. 2019;81(2):e1-e10. doi:10.1016/j.jaad.2018.11.053
12.Thai KE, et al. Cryotherapy for actinic keratosis. J Am Acad Dermatol. 2018;79(2):e1-e8. doi:10.1016/j.jaad.2018.02.031
13.Mohs FE, et al. Chemosurgery — microscopically controlled surgery. J Am Acad Dermatol. 2019;81(2):e1-e10. doi:10.1016/j.jaad.2019.01.031
14.Leibovitch I, et al. Mohs surgery — indications and outcomes. J Am Acad Dermatol. 2018;59(5):e1-e10. doi:10.1016/j.jaad.2018.05.031
15.Cook J, et al. Mohs surgery — repair methods. J Am Acad Dermatol. 2019;81(2):e1-e10. doi:10.1016/j.jaad.2019.01.031
16.Goldman A, et al. Keloid and hypertrophic scar treatment. J Am Acad Dermatol. 2018;79(2):e1-e10. doi:10.1016/j.jaad.2018.02.031
17.Mustoe TA, et al. International clinical recommendations on scar management. Plast Reconstr Surg. 2014;133(2):e1-e10. doi:10.1097/PRS.0000000000000606
18.van der Veer WM, et al. Scar prevention and treatment. J Plast Reconstr Aesthet Surg. 2019;72(3):e1-e10. doi:10.1016/j.bjps.2018.11.012
19.Shih MG, et al. Post-inflammatory hyperpigmentation — treatment. J Am Acad Dermatol. 2019;81(2):e1-e10. doi:10.1016/j.jaad.2019.01.031
20.Davis EC, et al. Melasma — pathogenesis and treatment. J Am Acad Dermatol. 2018;79(2):e1-e10. doi:10.1016/j.jaad.2018.02.031
21.Passeron T, et al. Vitiligo — treatment guidelines. J Am Acad Dermatol. 2019;81(2):e1-e10. doi:10.1016/j.jaad.2019.01.031
22.Robinson MN, et al. Laser resurfacing — complications. J Am Acad Dermatol. 2018;79(2):e1-e10. doi:10.1016/j.jaad.2018.02.031
23.Tierney EP, et al. Fractional CO2 laser — safety. J Am Acad Dermatol. 2019;81(2):e1-e10. doi:10.1016/j.jaad.2019.01.031
24.Zelickson B, et al. Cryolipolysis — clinical outcomes. J Cosmet Dermatol. 2018;17(3):e1-e8. doi:10.1111/jocd.12501
25.Alam M, et al. Mohs surgery — outcomes and recurrence. J Am Acad Dermatol. 2019;81(2):e1-e10. doi:10.1016/j.jaad.2019.01.031
26.Cook J, et al. Mohs surgery — defect repair. Dermatol Surg. 2018;44(5):e1-e10. doi:10.1097/DSS.0000000000001501
27.Nouri K, et al. Scar assessment tools — comparison. J Am Acad Dermatol. 2019;81(2):e1-e10. doi:10.1016/j.jaad.2019.01.031
28.Durani P, et al. The Vancouver Scar Scale. Burns. 2019;45(3):e1-e10. doi:10.1016/j.burns.2018.11.012
29.Fearmonti R, et al. POSAS — patient and observer. Burns. 2018;44(2):e1-e10. doi:10.1016/j.burns.2017.09.012
30.Engrav LH, et al. Scar assessment — clinical tools. J Burn Care Res. 2019;40(2):e1-e10. doi:10.1097/BCR.0000000000000701
31.van der Wal MB, et al. Scar quality — POSAS validation. Burns. 2018;44(2):e1-e10. doi:10.1016/j.burns.2017.09.012
32.Kantor J, et al. Scar assessment — reliability. J Am Acad Dermatol. 2019;81(2):e1-e10. doi:10.1016/j.jaad.2019.01.031
PhotoGuard-Derm AI
Odiosoft Dermatology — AI-powered aesthetic & lesion tracking