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Derma Vision

AI-powered lesion analysis with real-time severity scoring, body map tracking, and teleconsultation for skin cancer screening.

Solution by Folio3
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Overview

Derma Vision is an AI-powered skin anomaly detection application designed for clinics, hospitals, and individual patients. It supports screening and detection of conditions including melanoma, carcinoma, vitiligo, and other suspicious lesions, providing image-based risk assessments, severity scoring, and teleconsultation capabilities through a mobile-friendly interface.

The platform serves two primary user groups: clinical settings, where it supports screening workflows, reduces unnecessary referrals, and integrates with EHR/EMR systems; and patients, who can track lesions over time and consult with specialists remotely using a phone or tablet.

Key Features

  • Real-time lesion risk scores: Analyzes lesion images and assigns severity labels — low, moderate, or high — to support early detection of skin cancer risks and anomalies such as melanoma, vitiligo, and suspicious moles.
  • Interactive body map with spot tracking: Provides a gender-specific, interactive body map that allows physicians and patients to tag and track lesion locations over time, supporting more precise follow-up assessments.
  • Mobile-friendly workflow: Captures both overview and close-up images directly from a mobile device camera, with rapid upload and AI analysis results available within seconds for use by dermatologists and remote users alike.
  • Self-check reminders: Sends push notifications to prompt users to examine lesions at set intervals, supporting consistent monitoring and early identification of changes.
  • UV index monitoring: Delivers real-time UV index alerts with location-based recommendations to support preventive care and patient risk management.
  • Exportable reports: Supports flexible access models including pay-per-assessment and enterprise subscriptions for larger clinical networks.
  • Teleconsultation support: Connects patients and clinicians through an integrated telehealth workflow where clinicians can review annotated images, add clinical notes, and recommend next steps.
  • Compliance and security: Fully HIPAA and GDPR compliant, with end-to-end encryption, secure storage, and strict data handling standards to protect Patient Health Information (PHI).

Workflow Steps

  1. Capture lesion images: Use a mobile device to take both overview and close-up images of the lesion.
  2. Upload securely: Submit images through a phone or tablet with full data protection in place.
  3. Enter patient details: Add relevant information including symptoms, patient age, and the affected body area.
  4. Receive severity score: View clear risk scores accompanied by annotated visuals for clinical or patient review.
  5. Share or export reports: Distribute results to specialists or export structured reports as PDFs.

Clinical and Operational Benefits

  • Provides instant severity scores and visual evidence to reduce delays in patient guidance.
  • Helps clinics reduce repeated biopsies and limit specialist referrals by classifying disease severity, lowering overall screening costs.
  • Designed for use across dermatology clinics, general medical practices, and teleconsultation models, with minimal training required.
  • Integrates with existing clinical systems including EHR/EMR platforms to support workflow continuity.
  • Includes both a patient-facing app and a clinical dashboard to support preventive checks and clinical decision-making.

Derma Vision is built for adaptability across in-clinic and remote care settings. Its compliance with HIPAA and GDPR, combined with EHR/EMR integration support, makes it applicable to a range of healthcare environments including dermatology practices, general clinics, and telehealth providers.

Meta

Domain
Clinical & Health Data Management
Subdomain
Clinical Decision Support
Software type(s)
Analytical Platform
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
BiotechDiagnostics / IVD
Development stage(s)
ClinicalPost-Market & RWE
Target user(s)
Research ScientistClinical / Diagnostic Professional
Compliance standard(s)
HIPAAGDPR
Tag(s)
Uses AI