Post-Acute Sequelae of Covid-19: A System-wise Approach on the Effects of Long-Covid-19.

The SARS-CoV-2 virus responsible for the COVID-19 pandemic has profoundly impacted global health, economics, and society. This review seeks to encompass an overview of current knowledge on COVID-19, including its transmission, pathogenesis, and clinical presentation related to various systems within the human body. COVID-19 is a highly contagious illness that has rapidly spread worldwide.

Role of nonsteroidal anti-inflammatory drugs on change in macular volume postcataract surgery in diabetic eyes: A retrospective comparative study.

Context: Diabetic eyes suffer from variety of complications including macular edema. Cataract surgery is the most commonly done procedure throughout the world and majority would be diabetics. As pseudophakic-cystoid macular edema (CME) is a known complication following cataract surgery, our study concentrated on finding the role of prophylactic topical nonsteroidal anti-inflammatory drugs (NSAIDs) on change in total macular volume (TMV) postcataract surgery in diabetic eyes.

Validation of ToucHb, a non-invasive haemoglobin estimation: Effective for normal ranges, needs improvement for anaemia detection.

Non-invasive methods for haemoglobin estimation hold enormous potential for early detection and treatment of anaemia, especially in limited resource settings. We sought to validate the diagnostic accuracy of ToucHb, a non-invasive haemoglobin estimation device available in the Indian market. We prospectively evaluated the diagnostic performance of the ToucHb device using the Automated complete blood count (CBC) method as the gold standard.

Characterization of combined endoscopies and aerodigestive care: An analysis of utilization and financial feasibility.

Background: Aerodigestive care is one model of multi-disciplinary care, which is a valuable tool for both providers and patients. Aerodigestive care models are associated with improved outcomes, reduced anesthesia exposure, reduction in hospital admissions, and fewer days of missed work or school. This is the first study to explore national usage and cost trends in combined endoscopy utilization to identify gaps in care and the potential for financial resource optimization.

MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent.

Image registration is the process of bringing different images into a common coordinate system - a technique widely used in various applications of computer vision, such as remote sensing, image retrieval, and, most commonly, medical imaging. Deep learning based techniques have been applied successfully to tackle various complex medical image processing problems, including medical image registration. Over the years, several image registration techniques have been proposed using deep learning.