AI tool for predicting MGMT methylation in glioblastoma for clinical decision support in resource limited settings.

Glioblastoma is an aggressive brain cancer with a poor prognosis. The O6-methylguanine-DNA methyltransferase (MGMT) gene methylation status is crucial for treatment stratification, yet economic constraints often limit access. This study aims to develop an artificial intelligence (AI) framework for predicting MGMT methylation.

Spontaneous transomental hernia: a case report of a rare internal hernia with a challenging diagnosis.

Introduction And Importance: Transomental hernia (TOH) is an extremely rare clinical condition that represents 1-4% of all internal hernias. Spontaneous TOH occurs in patients with no history of surgery or previous abdominal trauma. It happens after protrusion of the abdominal viscera, commonly the small bowel loops through a defect on the great omentum.

Voluminous cervical polyp delivered: a case report.

Cervical polyps are common gynecological findings, typically small and benign. However, larger polyps can mimic malignant neoplasms and pose diagnostic challenges. We present a case of a 40-year-old woman with a large cervical polyp, highlighting the critical role of radiological imaging in diagnosis and management.

Prediction of cervix cancer stage and grade from diffusion weighted imaging using EfficientNet.

. This study aims to introduce an innovative noninvasive method that leverages a single image for both grading and staging prediction. The grade and the stage of cervix cancer (CC) are determined from diffusion-weighted imaging (DWI) in particular apparent diffusion coefficient (ADC) maps using deep convolutional neural networks (DCNN).

Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach.

Brain cancer is a life-threatening disease requiring close attention. Early and accurate diagnosis using non-invasive medical imaging is critical for successful treatment and patient survival. However, manual diagnosis by radiologist experts is time-consuming and has limitations in processing large datasets efficiently.