Published Paper Details:

The Bone Age Prediction System is a web based tool that was developed to improve the management of bone age determination within a clinical setting. Typical measurement techniques utilize a laborious process that calls for manual interpretation of X-ray photographs combined with extensive subjective judgment by experts in order to derive the final evaluation of bone age. Using Firebase for backend functionality, including authentication and cloud based data storage, and using Streamlit as the front end user interface, the proposed tool gives a secure digital method of overcoming the limitations. The proposed system consists of three main modules, Administration, Patient, and User. Using the User Module, authorized healthcare staff can securely log into the database to manage patient information and maintain records of bone age. Using the Patient Module, patients can receive electronically generated PDF reports automatically and also access information regarding patients individual reports. Administering of the User Module is through the Administration Module. The additional support within the tool for visual analytics and data monitoring can assist with healthcare decision support. Firebase provides scalable, cloud based storage and allows data to be synchronized in real time while supporting secure authentication, providing for efficient and dependable operation of the proposed tool. The Bone Age Prediction System demonstrates how modern web based technology has the potential to improve workflow for healthcare data systems, particularly with the potential to implement machine learning based automatic prediction of bone age as well as cloud based remote.