Researchers from the Indian Institute of Technology (IIT) Guwahati have developed an AI model to predict the healing of thigh bone fractures after surgery.
The model created by Assistant Professor of the Department of Biosciences and Bioengineering, Dr. Souptick Chanda, and his team can assess the healing outcomes of various fracture fixation strategies, which allows an optimum strategy to be chosen for the patient depending on their physiologies and fracture type. Such precision models can reduce healing time and lighten the economic burden and pain for patients needing thigh fracture treatment.
The research team has used Finite Element Analysis and the Fuzzy Logic AI tool to comprehend the fracture’s healing process after various treatment methods. The study further analyzed the influence of various screw fixation mechanisms to study the fracture healing efficacies of each process.
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IIT Guwahati’s AI-based simulation model can help surgeons choose the proper technique or implant before a fracture treatment. In addition to various patient-specific biological parameters, the model can also consider different clinical phenomena, such as smoking, diabetes, and others. The model can also be modified for veterinary fractures, which are, in various aspects, similar to human patients.
Based on the algorithm, the researchers plan to develop software or applications to use in hospitals and other healthcare institutions for fracture treatment protocols. Research done by IIT Guwahati researchers is helpful because the incidences of thigh-bone and hip fractures have increased significantly due to the increasing geriatric population in the world.
