Mole Checker Skin Dermatology

Mole Checker uses artificial intelligence and large amounts of data to improve your health and wellness.
Mole Checker is a groundbreaking application designed to assist you in taking care of your health and wellness, with a focus on dermatology and skin cancer prevention. Health is our most valuable asset, and taking care of it is essential for complete well-being. Utilizing artificial intelligence and computer vision, this application allows you to perform quick and easy checks of moles and skin lesions to determine whether they are benign or malignant. The application has been trained with thousands of confirmed melanoma images and uses an advanced AI algorithm to compare your images with this dataset, helping you identify potential skin cancer risks and concerning skin rash.

A skin cancer self-exam is used to identify suspicious moles or lesions that may be cancer or growths that may develop into skin cancer (precancers). Individuals who are at a high risk of skin cancer are encouraged to perform frequent skin self-exams. It is explained, within the app, how to track and review the moles and lesions.
When it comes to Skin Cancer, there is a lot of information out there and it's very hard to be sure you're making the right decisions. That's where this app becomes more and more useful. By using Artificial Intelligence, we can help take some of the guesswork out of your condition.

One of the key features of Mole Checker is its ability to track your moles over time. You can take photos of your mole and skin lesions, and the application will securely store them, allowing you to compare them with previous images, as you can generate a video progress. This will help you identify any changes in the size, shape, or color of your moles, which is crucial for early detection of skin cancer and maintaining optimal health.

Mole Checker aims to reduce the alarming statistics of skin cancer. According to the Skin Cancer Foundation, two people die every hour from skin cancer in the United States alone. In the U.S., over 9,500 people are diagnosed with skin cancer every day.

Source datasets:
SIIM is joined by the International Skin Imaging Collaboration (ISIC), an international effort to improve melanoma diagnosis. The ISIC Archive contains the largest publicly available collection of quality-controlled dermoscopic images of skin lesions. There are more than 33000 images analyzed to create this app.

MEDICAL ADVICE DISCLAIMER

This application and its usage are not intended to be a substitute for professional medical advice, diagnosis, or treatment. Any results from this application are purely for informative purposes and should not be treated as medical advice. You understand and acknowledge that all users of this application are responsible for their own medical care, treatment, and oversight. All of the content provided in the application is for informational purposes only and DOES NOT CONSTITUTE THE PROVIDING OF MEDICAL ADVICE and is not intended to