About The Developer – Aadith R. Parthasarathy
Football is a high-impact game, and injuries are common due to collisions, contact and falls. Delayed diagnoses of these injuries can lead to limited movement, instability, deformity, or persistent pain. Therefore, early and accurate diagnosis is crucial.
When a fellow teammate suffered a game injury and dropped out due to a lack of early medical attention, Aadith R. Parthasarathy was inspired to develop XrAId.
About the App – XrAId
XrAId is an AI-powered application designed to provide fast, accurate preliminary diagnoses for injuries using radiographic images. Built with a focus on accessibility and portability, the app uses advanced machine learning models to assist users in identifying common wrist injuries such as fractures and soft tissue swelling.
XrAId addresses the growing demand for quicker diagnostic tools in everyday scenarios, especially in sports, where delayed medical attention or inaccurate diagnosis can lead to long-term damage. XrAId ensures efficient, real-time analysis of X-rays with the diagnosis available in less than seven seconds.
XrAId is a valuable tool for both medical professionals and early responders, assisting them with injury insights anytime, anywhere.
Feedback
Please share your feedback with the developer, Aadith R. Parthasarathy [email protected], to assist in further enhancing the application in future versions.