About The System

This is a prototype of orthopedic pediatric system for identifying types of fracture, healing time and fracture management.

The system uses decision support system concept for fracture identification. Machine learning algorithm is deployed in fracture healing time prediction.

Fractures in children (aged 0–12 years) have considerably different features as opposed to fractures in adults. Skeletal trauma accounts for 15% of all injuries in children.

There are several types of fracture such as a transverse, spiral and torus. While rates have been published for a normal bone healing process in adults, very little is known about healing rates in the pediatric population.

Pediatric bone physiology indicates that younger individuals heal at a faster rate as compared to adults.