Shiri Guniman, Nir Lapidot
Mechanical Engineering
guided by Dr. Sharon Yalov-Handzel
Predicting Knee Pain in Combat Soldiers
Shiri Guniman, Nir Lapidot
Mechanical Engineering
guided by Dr. Sharon Yalov-Handzel
Academic Program: Data Science
Purpose/Essence of the Project
The purpose of the project is to develop a deep-learning-based model that will help diagnose knee pain in soldiers through data analysis and identification of relevant patterns. The project seeks to examine how AI tools can be used to improve the process of identifying and understanding the problem.
Describe the Product/Project
The project focuses on diagnosing knee pain in soldiers through a deep-learning-based model. We use deep learning methods to analyze the data, identify complex patterns, and generate insights that might aid the diagnostic process. The project is meant to examine how advanced AI tools can be used to improve the identification, understanding, and addressing of knee pain problems among soldiers.
How Was the Idea Born?
The project idea was given to us in advance, and we took it to the applied stage. Once we were given the topic, we focused on understanding it in depth, and developing the research orientation and optimal implementation.
Why Did You Choose This Project?
We chose this project because it’s an issue with both practical importance and significant human value. Knee pain is commonplace among soldiers due to the physical strain, the arduous activity, and the intensive nature of their service – and thus it is an interesting issue to research, with direct impact on the soldiers’ quality of life, functioning, and readiness.
Furthermore, the topic combines a professional challenge with a real opportunity to make an applicable contribution. The idea that data and analytics can be used to help identify, diagnose, or better understand the causes of knee pain seemed especially interesting to us. This is a field where academic work has genuine potential to help with decision-making, improving prevention, and providing better response on the ground.
Additionally, it’s an easy subject to connect with, since it deals with an actual, relevant problem and not just a theoretical question. Thus, we felt that the project would keep us interested all the way through, and also allow us to work on a meaningful issue.
Is the Project Connected with a Personal Story of Yours or of Someone You Know?
No.
What Need Does It Address and for What Population?
It addresses knee pain among combat soldiers in the IDF.

Predicting Knee Pain in Combat Soldiers
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