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    Dermoscopy support

    Evidence you can review. Decisions you can defend.

    Review dermoscopic images, compare AI suggestions, and export signed reports. The clinician always decides.

    Get startedSee the workflow →

    For research support. AI is advisory only.

    CanScanly dermoscopy review interface showing lesion analysis

    Workflow

    From intake to signed report in four accountable steps

    Model output and clinical judgment stay distinct at every stage so that when you sign off, the trail is clear.

    Dermoscopic image upload and validation step
    Input validation
    AI preprocessing and lesion analysis step
    Model analysis
    Clinical report generation and export step
    Signed output
    1. 01

      Upload the capture

      Add a dermoscopic image in JPG or PNG. Quality checks run first so every review starts from a usable frame.

      Next step
    2. 02

      Standardize for review

      Lighting and framing are normalized so variation in capture conditions does not skew what you and the model see.

      Next step
    3. 03

      Review the suggestion

      The model proposes a classification with a confidence score and a heatmap of influential regions that you may accept, question, or override.

      Next step
    4. 04

      Document and export

      Record your clinical assessment, separate from the model output, and export a report that stays with the patient record.

    Capabilities

    Privacy and accountability are built in, not bolted on

    CanScanly is structured so access controls, patient identity, and clinical documentation come first. AI enters that workflow as support rather than as a shortcut around it.

    AI-assisted review

    Like a second set of eyes, not a second opinion you did not ask for

    Upload a dermoscopic capture, receive a structured classification with confidence and region highlights, then record your own assessment. Analysis runs inside the clinical workspace and is not offered as a public-facing screening tool.

    • Confidence scores that show how strongly the model leans
    • Heatmaps pointing to regions that influenced the suggestion
    • A hard line between model output and your clinical note
    • Exportable reports formatted for the patient record

    01

    Role-based workspaces

    Doctors, patients, and administrators each enter through their own gate. Navigation, data, and actions stay scoped to what that role is allowed to see.

    02

    Validated patient onboarding

    Create a patient record, receive an MRN, and move straight into the profile so that duplicate charts and orphaned uploads do not occur.

    03

    Restricted patient portal

    Invited patients view only the reports tied to their account. Nothing else in the clinic database is exposed.

    04

    Physician holds the diagnosis

    Model suggestions arrive with confidence scores and visual explainability. The clinician reviews, records the final call, and exports the report.

    Ready to review your first case?

    Register as a clinician, onboard a patient, and run the full workflow from upload to signed report.

    Create clinician account
    CanScanlyCanScanly

    Clinician-led dermoscopy review.

    Secure workflows. AI supports, never decides.

    Product

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    © 2026 CanScanly. All rights reserved.

    Research use only. Physician-led diagnosis.