Publications by authors named "Samyuktha Harikrishnan"
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 PDFObjectives This study aimed to analyze the impact of the United States Medical Licensing Examination (USMLE) Step 1 transition to a pass/fail scoring system in 2022 on the performance of first-time test takers in three distinct groups: Doctor of Osteopathy (DO) and Doctor of Medicine (MD) examinees from US/Canadian schools and examinees from non-US/Canadian schools. The analysis spans a decade-long period from 2012 to 2022, offering insights into the implications of this pivotal change in medical education. Methods We analyzed the performance of first-time USMLE Step 1 examinees from US/Canadian MD and DO programs and non-US/Canadian schools from 2012 to 2022, including the transition year to a pass/fail scoring system.
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