SkinCheck is a free triage tool to allow anyone to check their lesions for skin cancer*, track their lesions over time, and compare their lesions to an index of different cancerous and non-cancerous lesion types.
* Skin lesion image analysis limited in the U.S. and select regions.
According to the Skin Cancer Foundation, two people die every hour from skin-cancer in the U.S. alone. The hope for my app is to bring down this alarming statistic by letting users know if their moles are concerning and recommending them to seek treatment.
Disclaimer: SkinCheck app does not provide medical advice, diagnosis or treatment. The assessments provided are heavily dependent on the quality of the image. If you have any concerns you should see a certified doctor.
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Skin-Check FAQ
Is Skin-Check free?
Yes, Skin-Check is completely free and it doesn't have any in-app purchases or subscriptions.
Is Skin-Check legit?
🤔 The Skin-Check app's quality is mixed. Some users are satisfied, while others report issues. Consider reading individual reviews for more context.
v3.5: jetzt doch wieder kostenlos? naja, mir gefällts.
v3.2.1: jetzt kostenpflichtig und viel zu teuer.
auto-blitz und -cropping verschlechtern leider die ergebnisse/möglichkeiten. ausserdem war es praktisch, dass man mit den volume-buttons des iphones das foto auslösen konnte, was nun auch nicht mehr geht.
Nicht gut
Falsche Diagnose geliefert
Macro Function of iPhone Not Supported
unfortunately, macro function of new iPhones were not supported. I really don’t understand this, because for me this function of the iPhone was the main feature.
No falsh, mole, with flash cancer 90% confident
Good example why research dataset trained models do not work on data from real devices because the models are not made to handle domain shift (lighting, camera, skin color), noise or counteract the dataset bias.
Without flash it predicts mole 90% confident.
With flash it predicts 90% cancer.
At least its good advertisement for dermatologists, mine certainly had a good laugh when he tried this.
At the very least, this needs an attribution (XAI) view so the user can turn of when the model detects hairs as features of a dark melanoma. The attention map should be post editable, or as skinvision does it, the problem are should be detected first.
If they ran XAI on this model before deployment, they would have realized this.
Idk what’s going on but
Not even one thing worked. Any time I tried to select a “button” nothing opened. Couldn’t even get to an option to upload or take a picture. The little circle in the top corner that is supposed to take you to your account, did nothing. This app was a mess
App doesn’t do anything
It lets you take a picture of a lesion and manually compare the picture to pictures of skin issues found on the internet. It does not use AI to evaluate the risk of you lesion.
I love using this for my dad with skin cancer
Skin check is an app that I’ve loved using for 3 years now! Watching it grow into a full company has been amazing because I’ve believed in the vision! Keep up the hard work because me and my father who has skin cancer love to check in weekly to see when he needs to get it removed!
Love the app!
Even though my region is US so I couldn't fully use a diagnosis function I still found the AI detection and follow up options really helpful!
Skin Check is a great detector
My sister has developed several moles that looked concerning to us, before we were able to seek a dermatologist’s opinion.
That’s when we heard about Skin Check, and downloaded looking for answers. She had 8 moles at the time that looked concerning and the app flagged several of them. After waiting several weeks for an appointment, the dermatologist confirmed the exact moles that Skin Check had shown were concerning and we were able to get them removed.
Would highly recommend using if you are worried about a skin spot that looks odd. It is accurate!
Love this app!
Super easy to use, reliable, and clean interface! Multiple people I know have detected truly dangerous moles with this app. I would gladly pay for this app. Thank you!
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