Mobile MoleCheck: Swipe to Flag Lesion Concern
Read ArticleRead Original Articleadded Sep 7, 2025September 7, 2025
This is a mobile-first tool for screening perceptions of skin lesions. Users swipe or tap to indicate whether an image looks concerning, not concerning, or if they’re unsure. A desktop fallback is available, but the experience is optimized for phones.
Key Points
- The app is optimized for mobile use and can be accessed via a QR code.
- A desktop continuation option is provided as an alternative.
- Users assess whether a skin lesion appears concerning.
- Interaction is via swipe gestures (left for concerned, right for not concerned) or buttons.
- An 'I'm not sure' choice and navigation to the next image are available.
Sentiment
Generally positive toward the app’s concept and potential educational value, with constructive criticism about data balance, UX clarity, real-world guidance, and anxiety risks.
In Agreement
- The app is a useful, engaging way to learn what concerning skin lesions can look like, guided by a domain expert.
- Short, focused training can improve laypeople’s ability to spot potentially dangerous lesions.
- Shifting to a roughly 50:50 mix of cancerous vs. benign examples would make training more realistic and effective.
- A set number of cases or a clearer endpoint could improve user engagement and learning.
- The project is a good example of simple implementation paired with expert content (‘vibecoding’).
Opposed
- Many basal cell carcinomas resemble benign issues (pimples, scratches), making classification very hard and sometimes below chance for users.
- An apparent overrepresentation of cancers may inflate learning gains and could increase anxiety or hypochondria.
- There’s uncertainty around practical self-screening protocols beyond ABCDE, suggesting the app may need clearer educational guidance.
- UX issues (e.g., image slicing bug on Safari, lack of a clear endpoint) detract from the experience.
- If not carefully balanced and contextualized, the exercise might push users toward unnecessary worry or misclassification.