Skin cancer, triggered by the abnormal growth of skin cells, is one of the most common forms of cancer worldwide.
It makes up 40% of all cancer cases, but despite this, people fail to flag skin cancer symptoms on time.
Now, to tackle this issue, an Amsterdam-based company is offering an app for monitoring, detecting skin cancer.
Here's all about it.
SkinVision to track skin spots over time
Early stages of skin cancer start with simple marks and spots which people tend to dismiss.
However, SkinVision gives a way to track and assess how skin spots change over time.
It requires the user to photograph the spot, post which an in-app machine learning algorithm analyzes it, considering the symptoms of skin cancer, and delivers a low/medium/high-risk report.
What signs of skin cancer the app considers?
While analyzing a real skin spot photograph, the machine learning engine of the app looks for early signs of skin cancer, which may include irregular patterns, multiple colors, asymmetry, size, and uneven borders.
Plus, it reminds the user to track changes over time
After the first test, the app waits and reminds the user to go for another test.
Then, on the basis of two-three risk assessment reports, the user can make an informed decision and get in touch with a general practitioner for a full check-up.
This not only gives an assessment tool into the hands of the public but also reduces unnecessary GP visits.