ScanSkinAI

ScanSkinAI is a medical-grade AI skin health platform that analyzes photos for 160+ skin conditions with 96.48% accuracy. Features include AI mole checking, skin cancer screening, wound care assessment, rash identification, cosmetic ingredient checking, UV risk analysis, and a comprehensive Skin Diseases A-Z directory. UKCA Class I certified with ISO 13485 and ISO 27001 compliance. Used by individuals and healthcare professionals across the UK and Hong Kong. Featured on the Hong Kong Smart Gover

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What is ScanSkinAI?

ScanSkinAI is a medical-grade AI skin health platform that analyzes photos for 160+ skin conditions with 96.48% accuracy. Features include AI mole checking, skin cancer screening, wound care assessment, rash identification, cosmetic ingredient checking, UV risk analysis, and a comprehensive Skin Diseases A-Z directory. UKCA Class I certified with ISO 13485 and ISO 27001 compliance. Used by individuals and healthcare professionals across the UK and Hong Kong. Featured on the Hong Kong Smart Gover Use Cases: ScanSkinAIâs core use case is fast skin triage + tracking, without needing a clinic visit first., âIs this serious?â triage (minutes, not weeks) You notice a mole/rash/spot/wound and want a quick risk indication + what to do next., Track changes over time (the killer feature) Most skin issues are about change. Monthly scans of the same spot to spot worsening, healing, flare-ups, or weird evolution Pros: High accuracy rate (96.48%) and fast results (30 seconds), Medical-grade certifications (ISO 13485, ISO 27001, UKCA Class I), Flexible turnaround times for expert human reviews Cons: AI analysis is for informational purposes and not a formal medical diagnosis, Expert reviews require an additional fee, Accuracy depends heavily on the quality of the uploaded photo

What is ScanSkinAI? ScanSkinAI provides AI skin scanning and analysis for mole checks, melanoma detection, and broad skin disease screening.The platform analyzes uploaded photos in about 30 seconds, detecting 31+ conditions (including melanoma, basal cell carcinoma, eczema, psoriasis, acne) and producing detailed reports with risk indicators and next-step recommendations. Users can request optional dermatologist review with clinician feedback within 8–48 hours and use longitudinal tracking features—photo timelines, severity logs, and trend insights—for chronic condition monitoring. Additional capabilities include wound care assessment, UV exposure and vulnerability analysis, and product safety scanning to inform care decisions.The tool serves adults monitoring moles, people with recurring inflammatory conditions, parents checking children’s rashes, clinicians integrating teledermatology, and individuals seeking preliminary screening and documentation for specialist referral. ScanSkinAI supports early detection workflows, regular skin monitoring, and report generation for follow-up care.

Key features

  • AI-powered skin image analysis for mole checks, melanoma detection, and broad skin disease screening
  • Detection of dozens of skin conditions, including melanoma, basal cell carcinoma, eczema, psoriasis, and acne
  • Generation of detailed reports with risk indicators and next-step recommendations
  • Optional dermatologist (clinician) review integrated with clinician feedback
  • Longitudinal tracking with photo timelines, severity logs, and trend insights for chronic monitoring
  • AI-powered skin image analysis for mole checks, melanoma detection, and broad skin disease screening
  • Detection of dozens of skin conditions, including melanoma, basal cell carcinoma, eczema, psoriasis, and acne
  • Generation of detailed reports with risk indicators and next-step recommendations
  • Optional dermatologist (clinician) review integrated with clinician feedback
  • Longitudinal tracking with photo timelines, severity logs, and trend insights for chronic monitoring
  • UV Exposure Analysis

Use cases

  • Longitudinal skin monitoring for chronic conditions
  • Screen suspicious skin lesions at home by uploading photos to ScanSkinAI for a ~30-second analysis that detects 31+ conditions (including melanoma and basal cell carcinoma), delivers a clear risk report with next-step recommendations, and offers an optional expedited dermatologist review (8–48 hrs) if high risk is detected Enable primary care clinics and telehealth services to triage dermatology cases faster by using ScanSkinAI’s rapid photo analysis and wound care assessment to prioritize urgent referrals, attach AI risk scores to patient charts, and use optional dermatologist reviews for ambiguous or high-risk cases Monitor chronic skin conditions and wounds (eczema, psoriasis, post-op wounds, diabetic ulcers) through longitudinal photo tracking with ScanSkinAI to generate objective progress reports, receive treatment-response recommendations, and escalate to dermatologist review when healing stalls or risks increase
  • Preliminary screening for specialist referral

Who is it for

  • Adults monitoring moles People with recurring inflammatory skin conditions (eczema
  • psoriasis
  • acne) Parents checking children’s rashes Clinicians integrating teledermatology into care Individuals seeking preliminary screening
  • documentation for specialist referral Patients needing wound care assessment People using longitudinal tracking for chronic skin monitoring Individuals concerned about uv exposure
  • product safety

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