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Objective To appraise the application of the 2018 European Society of Cardiology-adapted modified WHO (mWHO) classification to pregnant women with heart disease managed at our maternal–fetal medicine referral centre and to assess whether the lack of a multidisciplinary Pregnancy Heart team has influenced their outcomes. Methods A retrospective cohort study including all pregnancies with heart disease managed at our centre between June 2011 and December 2020.
Written by Pendell Meyers Interpret this ECG first without context. You don't need context yet because this ECG is nearly pathognomonic. After having learned about benign T wave inversion pattern years ago on this blog, and having seen many cases on this blog and in my practice since then, I instantly recognize this as BTWI, a fairly common normal variant.
Background Advances in CT and machine learning have enabled on-site non-invasive assessment of fractional flow reserve (FFR CT ). Purpose To assess the interoperator and intraoperator variability of coronary CT angiography-derived FFR CT using a machine learning-based postprocessing prototype. Materials and methods We included 60 symptomatic patients who underwent coronary CT angiography.
Speaker: Simran Kaur, Co-founder & CEO at Tattva Health Inc.
AI is transforming clinical trials—accelerating drug discovery, optimizing patient recruitment, and improving data analysis. But its impact goes far beyond research. As AI-driven innovation reshapes the clinical trial process, it’s also influencing broader healthcare trends, from personalized medicine to patient outcomes. Join this new webinar featuring Simran Kaur for an insightful discussion on what all of this means for the future of healthcare!
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