Abstract Monitoring intra-abdominal pressure (IAP) in critical care patients is crucial for preventing intra-abdominal hypertension (IAH) and abdominal compartment syndrome (ACS), with their severe consequences.The muscle contraction sensor (MC) introduced in this study offers a novel, non-invasive method with promising accuracy based on previous f
This research utilizes a deep learning-based image generation algorithm to generate pseudo-sagittal STIR sequences from Nasal Spray sagittal T1WI and T2WI MR images.The evaluations include both subjective assessments by two physicians and objective analyses, measuring image quality through SNR and CNR in ROIs of five different tissues.Further analy
Purpose: To retrospectively study impact of preoperative posterior segment evaluation on surgical intervention in camp patients recruited for cataract surgery in Gujarat India.Methods: Retrospective analysis of six months data collected from hospital electronic medical record (EMR) system of Tank Cover 9820 admitted patients recruited from screenin
Nucleic acid amplification is a powerful molecular biology tool, although its use outside the modern laboratory environment is limited due to the relatively cumbersome methods required to extract nucleic acids from biological samples.To address this issue, we investigated a variety of materials for their suitability for nucleic acid capture and pur
Traditional methods for acquiring high-resolution digital elevation models (DEMs) are costly and laborious.Deep-learning-based image superresolution (SR) offers a promising alternative but requires substantial training Applique Pins data.High-resolution DEMs, however, are often scarcer than satellite images at the same resolution.Recognizing the st