Dermatology Application for Doctors

Design and implementation of a mobile application and web panel for dermatologists using Flutter.

Technologies

Flutter•Product Design•Web

Main functionalities

DermAI was built with the intention of transforming the landscape of dermatological and cosmetic practice. We focused on the needs of specialists and patients, creating an application rich in advanced features that revolutionize care standards. As a result, DermAI serves as a key to enhancing the quality of diagnostics and therapy in the industry.

Intelligent Skin Diagnosis Using the ABCD Scale

The application introduces an innovative approach to diagnosing skin changes by integrating an intuitive interface with the capability for easy image analysis through artificial intelligence. A key feature is the implementation of the ABCD scale (Asymmetry, Border, Color, Diameter) for precise assessment of moles and skin changes. The system generates detailed reports, providing doctors not only with support in diagnosis but also in monitoring treatment progress, significantly enhancing the quality of patient care.

Management of Studies and Patients through the Web Panel

The solution facilitates doctors in managing studies and patients through a dedicated web panel. This integrated system allows for the efficient organization of patient data, including their medical histories and test results. Doctors can easily review and analyze the gathered information, enabling better treatment planning and quick responses to changes in patients’ health conditions. With this panel, the process of managing dermatological studies becomes more intuitive and effective.

3D Visualization of Moles

The system has been enhanced with a 3D photo visualization feature, implemented through integration with an external system provided by the client. This functionality allows standard photos of moles and other skin lesions to be transformed into three-dimensional models, enabling a more accurate analysis of their structure. As a result, doctors have access to more detailed data regarding the height, depth, and shape of skin lesions, which supports the diagnosis and monitoring process.

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