Publications by authors named "Mominul Haque"
Article Synopsis
- Accurate gestational age (GA) prediction is essential for proper prenatal care, and traditional methods struggle with precision; this study proposes a deep learning approach utilizing fetal brain MRI images to enhance prediction accuracy.
- The model, built on the Xception architecture and a multihead attention mechanism, was trained on a dataset of 52,900 images, demonstrating excellent performance with metrics like an R-squared value of 96.5% and a mean absolute error of just 3.80 days.
- The model excels in different anatomical views and shows superior results compared to existing state-of-the-art methods, indicating its potential to significantly improve GA predictions in clinical settings.
When performing infra-umbilical procedures, caudal epidural analgesia with bupivacaine is frequently used to provide both intra- and post-operative analgesia. Dexmedetomidine, an alpha 2 agonistsare extensively used in neuraxial blocks and peripheral nerve blocks to prolong the action of bupivacaine. To find out the effects of dexmedetomidine as an adjuvant to bupivacaine for caudal analgesia in children undergoing infra-umbilical surgery.
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