Healthcare issues is a vital question in nowadays world. There are so many different diseases and so little time for doctors appointments that many people try to self-medicate.
The healthcare project website is very a useful and ambitious platform that had a common and old fashion design. That’s why our client asked our team to remake UI and improve the user experience of the existing project website to enhance the efficiency, effectiveness, and accuracy of melanoma diagnosis. Besides, the front-end of the healthcare project should be improved and remade, and extended with Multirater functionality.
XB Software development team was challenged with the user experience improvement of the healthcare platform for the enhancement of the front-end of the existing website. The XB Software’s goal was to develop a user-friendly and easy-in-use solution that allows users to search the images and diagnose melanoma early.
The main project goal was to automate and simplify the searching of images by database. The web application is based on Webix, Python, and MongoDB.
Moreover, our development team used an open-source machine learning library TensorFlow for building machine learning models for diagnosing melanoma early.
XB Software team enhanced the existing healthcare website with the efficient and user-friendly user interface and experience.
The major project goals were achieved:
A group of US medical experts including dermatologists, pharmaceutical, and cosmetic industry scientists, etc. The main aim of the project is to familiarize non-specialists with new and unique digital skin imaging technologies relevant to clinical practice.