Publications by authors named "M KHODJA"

Proximal humeral fractures are among the most common fractures seen in emergency departments. Accurately diagnosing and selecting the most appropriate treatment for these fractures can be challenging, and consultation with a senior orthopedic surgeon can be time-consuming for both the patient and the emergency unit. We developed a machine learning model for predicting the type of treatment based on injury radiographic images.

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Introduction And Importance: Carpal tunnel syndrome (CTS) is caused by compression of the median nerve, leading to both sensory and motor dysfunction in the hand. Traditional open carpal tunnel release (CTR) is a proven treatment but often results in longer recovery times, visible scarring, and postoperative issues like pillar pain. Endoscopic techniques, while reducing recovery time and limiting incision size, present risks such as incomplete ligament release and possible nerve injury.

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Article Synopsis
  • Chronic ankle instability affects nearly half of athletes with lateral sprains, and while rehabilitation helps, surgery is often necessary for severe cases, especially in sports placing stress on the ankle.
  • The ALL (Ankle Lateral Ligamentoplasty) technique is introduced as a minimally invasive surgical option that uses gracilis tendon transfer to restore function and stability while preserving more common tendons for future knee surgeries.
  • This method offers quicker recovery and improved stability compared to traditional tenodesis procedures, but more research is needed to confirm its effectiveness for widespread use in treating ankle instability.
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This paper presents a novel framework for breast cancer detection using mammogram images. The proposed solution aims to output an explainable classification from a mammogram image. The classification approach uses a Case-Based Reasoning system (CBR).

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This paper addresses coverage loss and rapid energy depletion issues for wireless livestock sensor networks by proposing a UAV-based energy-efficient reconfigurable routing (UBER) scheme for smart wireless livestock sensor networking applications. This routing scheme relies on a dynamic residual energy thresholding strategy, robust cluster-to-UAV link formation, and UAV-assisted network coverage and recovery mechanism. The performance of UBER was evaluated using low, normal and high UAV altitude scenarios.

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