See high risk patients quicker
with SkinVision
SkinVision helps patients to monitor their skin. They can share high quality images and a risk assessment with their healthcare professional to find out if they need treatment.
How SkinVision helps Healthcare professionals
- Patients can send a high quality image of their skin spot to their healthcare professional to be visually assessed.
- Healthcare professionals receive the outcome of our clincally validated algorithm to inform their own diagnosis
- Using SkinVision can be the prompt for healthcare professionals to book a follow up consultation with the patient
- SkinVision’s tracking functionality helps patients monitor their skin over time and to send updates when needed.
How SkinVision works
1. Patients take photos of skin spots
Patients take high quality photos of worrying skinspots. Photos are instantly risk assessed with our clinically validated algorithm.
2. Patients share worrying skin spots
If the spot is high risk, or the patient has concerns, they share high quality images and the risk assessment directly with their health care professional through the app.
3. Healthcare professional assessment
The healthcare professional views the photo and risk assessment and decides whether to follow up with the patient for treatment.
4. Ongoing monitoring
The patient can use SkinVision for ongoing monitoring and continue to contact their healthcare professional when needed.
About SkinVision
SkinVision was developed by leading dermatologists and mathematicians
- Regulated, CE marked medical device.
- Available via an app for iphone and Android
- Uses a clinically validated algorithm to detect similarities between photos of skin lesions
- 95% sensitivity and 78% specificity in detecting malignant melanoma, basal cell carcinoma and squamous cell carcinoma
Research studies
We collaborate with leading medical centres and experts in the field of dermatology to ensure the safety and effectiveness of our device by clinically evaluating our performance.
Retrospective Accuracy Study
08 SEPT 2019
Journal of the European Academy of Dermatology and Venereology
Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms
Eindhoven Clinical Validation Study
23 DEC 2017
Telemedicine and e-Health
mHealth App for Risk Assessment of Pigmented and Nonpigmented Skin Lesions-A Study on Sensitivity and Specificity in Detecting Malignancy
Munich Clinical Validation Study
04 AUG 2014
Journal of the European Academy of Dermatology and Venereology
Accuracy of a smartphone application using fractal image analysis of pigmented moles compared to clinical diagnosis and histological result
mHealth Skin Cancer App Review
11 JUL 2019
JMIR Publications
Development of Smartphone Apps for Skin Cancer Risk Assessment: Progress and Promise
Partners
SkinVision partners with leading health insurance providers to enable users to access our service for free.
OUR SCIENTIFIC BOARD
Supported by a team of
skin health professionals
See high risk patients quicker
with SkinVision
1.
Fill out the form below so we can set up your system
2.
Receive codes and information you can send to patients
3.
Patients download the app and take photo of their skin spot
4.
Patients email you their risk assessment and a high quality photo of the skin spot
If you have any question please get in touch through hcp@skinvision.com
