Publications by authors named "Udvas Sen"
Article Synopsis
- - A systematic review and meta-analysis examined the effectiveness of AI algorithms in screening for aortic stenosis (AS), finding that they can accurately diagnose the condition before severe symptoms develop.
- - The analysis included data from diverse sources (like ECGs and wearable sensors) and assessed various diagnostic metrics, concluding with a sensitivity of 83% and specificity of 81% for the AI algorithms.
- - Results indicated high diagnostic accuracy (AUC of 0.909), while various factors (geographic region, AS type, data sources, AI methods) contributed to variations in performance, with a noted potential for publication bias affecting the findings.
Point-of-care ultrasound (POCUS) is an imaging modality that has become a fundamental part of clinical care provided in the emergency department (ED). The applications of this tool in the ED have ranged from resuscitation, diagnosis, and therapeutic to procedure guidance. This review aims to summarize the evidence on the use of POCUS for diagnosis and procedure guidance.
View Article and Find Full Text PDFBackground and objective Stroke-related deaths have been one of the major causes of death worldwide due to its rising risk factors. As a result, several people rely on YouTube as a great source of information on stroke without knowing the genuineness of the content. This study aims to assess the quality and reliability of the information on stroke uploaded on the YouTube platform using the Global Quality score (GQS) and DISCERN score (DS), respectively.
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