SkinIO for Dermatologists

Fast and easy in-office full-body imaging.

Learn more about using SkinIO in your practice.

  • Mobile app-guided
    full-body imaging

  • Automated, AI-based
    mole-mapping

  • Standardized, repeatable, sequential photography

  • Longitudinal change tracking

Guided photo-taking

Overlays of previous photos help align the patient between photo sets

Tilt detection ensures consistent photo orientations

Sizing stickers provide accurate sizing information for detected lesions

A full-body scan can be captured in ~5 minutes.

SkinIO Photo capture interface

Automated mole-mapping and matching to flag new or changed spots

SkinIO Mole mapping
Visual aid

A visual aid for in-person exams

  1. Standardized sequential photography creates an easily accessible digital, visual timeline of a patient’s skin across visits.
  2. Automated mole-mapping results can be used as a visual reference to better target areas of interest during in-person skin exams.
  3. Advanced in-app review and tagging system enables dermatologists to help train SkinIO’s proprietary AI model to optimize for relevant detections of pigmented lesions.

Workflow

  1. Nurses or nonmedical staff can capture full-body photography of patients in 3-5 minutes using the free SkinIO app on an iPad Pro or iPhone
  2. All photos and results can be reviewed and tagged during in-person exams as a supplemental visual aid
  3. Integration with EMRs to optimize clinical workflow and enable seamless data transfer with patient records

Clinic Resources
SkinIO Welcome package

Our technology is effective and secure.

Learn how it works

We built our patent-pending image processing algorithms (advanced computer vision and deep learning) specifically to target skin lesion detection and comparison.

All photos are encrypted and stored in a secure, HIPAA-compliant cloud-based infrastructure.

A Phase-1 clinical study with the Northwestern Department of Dermatology found our technology to be highly effective in detecting new or changed lesions.