IIT Guwahati develops AI model to predict bone repair outcomes after surgery – The New Indian Express

IIT Guwahati develops AI model to predict bone repair outcomes after surgery – The New Indian Express


NEW DELHI: Researchers at the Indian Institute of Technology (IIT), Guwahati, have developed an Artificial Intelligence (AI) model to predict the healing of femur fractures after surgery.

According to the team, the model can be used to assess the healing outcomes of different fracture fixation strategies, so that an optimal strategy can be chosen for the patient based on their personal physiologies and fracture type.

Using these precision models can reduce healing time and ease the financial burden and pain of patients who need thigh fracture treatment, they said.

The research results were recently published in the open source journal “PLoS One”.

“AI has enormous potential when it comes to understanding and predicting complex biological phenomena and thus can play an important role in health science applications,” said Souptick Chanda, assistant professor in the Department of Biosciences and Bioengineering from IIT Guwahati.

The research team has used a combination of finite element analysis and the “Fuzzy Logic” artificial intelligence tool to understand the fracture healing process after various treatment methods.

Various bone growth parameters along with a rule-based simulation scheme were used for this purpose.

The study further examined the influence of different screw fixation mechanisms to compare the fracture healing efficiencies of each process.

The healing predictions made by the model agreed well with experimental observations, pointing to its reliability.

“Our simulation model can potentially help a surgeon choose the right implant or technique before a fracture treatment surgery. In addition to various biological and patient-specific parameters, the model can also take into account different clinical phenomena, such as smoking, diabetes, etc. The model can also be adapted for veterinary fractures that are, physiologically and in several respects, similar to those that occur in humans,” added Chanda.

The researchers plan to develop software or an app based on the algorithm that can be used in hospitals and other health care institutions as part of their fracture treatment protocols.

The team is currently collaborating with Dr. Bhaskar Borgohain and his team of orthopedists at North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences Hospital, Shillong, on animal studies to validate and adjust certain parameters.

“The research is useful because the incidence of femur and hip fractures has increased significantly due to the increase in the geriatric population in the world. It is estimated that 2 lakh hip fractures occur every year in India alone, most of the which require hospitalization and trauma care. Treatment for hip fractures traditionally includes bone plates and rods to bridge the fracture site and promote bone healing,” said Pratik Nag, Research Academician at IIT Guwahati.

“Surgeons intuitively choose fracture treatment methods based on their experience, and there is no way to predict the efficacy and success of the chosen treatment method. Our research will help increase the rate of accuracy in orthopedic decision making.” thus reducing the cost and burden of disease associated with fracture recovery,” he added.

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