Instant Lesion Classification with Risk Scoring

DermaSkan analyses uploaded skin images and returns a classification of the lesion type along with a risk score. The model is trained on a dataset of dermatological images and can identify common conditions such as melanoma, basal cell carcinoma, and benign nevi. The tool provides results within seconds, making it suitable for live consultations.

Business outcome: Clinics can reduce initial assessment time by up to 60%, allowing practitioners to see more patients per day.

Browser-Based Workflow with No Hardware Required

As a Chrome extension, DermaSkan operates entirely within the browser. There is no need for proprietary cameras, dermoscopes, or specialised hardware. Users simply capture or upload an image from their device, and the analysis runs in the cloud. This lowers the barrier to entry for clinics that do not have dedicated imaging equipment.

Business outcome: Telehealth providers can deploy AI skin analysis across their entire practitioner network without capital investment in hardware.

Structured Output for Clinical Documentation

Each analysis generates a structured report that includes the predicted lesion type, confidence score, and risk level. These reports can be saved, printed, or attached to patient records. The structured format makes it straightforward to integrate into existing electronic health record (EHR) systems.

Business outcome: Practitioners save time on documentation while maintaining a clear audit trail of AI-assisted assessments.

Sub-Second Analysis for Real-Time Consultations

DermaSkan processes images in under one second for most cases. This speed is critical for live telehealth sessions where patients expect immediate feedback. The tool can handle multiple images in a single session, allowing practitioners to assess several lesions during one consultation.

Business outcome: Clinics can maintain consultation flow without introducing delays, preserving patient satisfaction.

Image Data Handled with Standard Encryption

Images uploaded to DermaSkan are encrypted in transit and at rest. The platform states that images are not stored permanently unless the user explicitly saves a report. This aligns with basic HIPAA and GDPR requirements, though clinics should verify compliance for their specific jurisdiction.

Business outcome: Clinics can adopt AI analysis without exposing patient data to unnecessary risk.

Free Tier Available for Low-Volume Users

DermaSkan offers a free plan that allows a limited number of analyses per month. This makes the tool accessible to individual practitioners or small clinics testing the technology before committing to a paid plan. The free tier is fully functional, with no feature restrictions beyond the monthly usage cap.

Business outcome: Practices can evaluate the tool's accuracy and workflow fit without financial risk.

• Zero hardware dependencyWorks with any standard camera or uploaded image, removing the need for expensive dermoscopy equipment.
• Real-time analysis speedSub-second processing keeps telehealth consultations flowing without awkward pauses.
• Structured clinical outputReports are ready for EHR integration, reducing documentation overhead.
• Low-cost entry pointFree tier allows risk-free evaluation before committing to a paid plan.

• Not a diagnostic deviceDermaSkan is a triage assistant, not a replacement for biopsy or specialist diagnosis.
• Limited image quality tolerancePoor lighting, low resolution, or non-standard angles can reduce classification accuracy.
• Chrome-only deploymentThe extension is limited to Google Chrome, excluding users on Safari, Firefox, or mobile browsers.
• Professional RealityClinics must still validate DermaSkan's output against their own diagnostic standards before integrating it into patient pathways.

Telehealth Triage for Remote Dermatology

A telehealth platform uses DermaSkan to pre-screen patient-submitted skin images before scheduling specialist appointments. High-risk lesions are flagged for urgent review, while low-risk cases are routed to standard appointments. This reduces specialist workload and shortens patient wait times.

Aesthetic Pre-Procedure Screening

An aesthetic clinic uses DermaSkan to assess skin lesions before performing cosmetic procedures such as laser treatment or chemical peels. If the tool flags a lesion as potentially malignant, the practitioner refers the patient to a dermatologist before proceeding.

Medical Education and Training

A medical school integrates DermaSkan into its dermatology curriculum. Students upload images of skin conditions and compare the AI's classification with their own assessments. This accelerates pattern recognition learning.

Clinical Research Data Collection

A research team uses DermaSkan to classify skin images from a patient cohort, generating structured data for analysis. The tool's consistent classification criteria reduce inter-rater variability in research settings.

Install the DermaSkan Chrome extension from the Chrome Web Store.

Open the extension and create a free account using your email address.

Upload a clear, well-lit skin image by clicking the upload button or dragging a file into the interface.

Review the classification and risk score, then save or export the report for your patient records.