{"version":"1.0","provider_name":"Cardiovascular Journal of Africa","provider_url":"https:\/\/cvja.co.za\/journal","title":"Rapid AI-assisted Poincar\u00e9 plot analysis for early detection of subclinical left ventricular dysfunction in hypertensive patients admitted to the emergency department: A prospective observational study - Cardiovascular Journal of Africa","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"0Gml9GxdKr\"><a href=\"https:\/\/cvja.co.za\/journal\/cvja-2025-069\/\">Rapid AI-assisted Poincar\u00e9 plot analysis for early detection of subclinical left ventricular dysfunction in hypertensive patients admitted to the emergency department: A prospective observational study<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/cvja.co.za\/journal\/cvja-2025-069\/embed\/#?secret=0Gml9GxdKr\" width=\"600\" height=\"338\" title=\"&#8220;Rapid AI-assisted Poincar\u00e9 plot analysis for early detection of subclinical left ventricular dysfunction in hypertensive patients admitted to the emergency department: A prospective observational study&#8221; &#8212; Cardiovascular Journal of Africa\" data-secret=\"0Gml9GxdKr\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/cvja.co.za\/journal\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Early detection of subclinical left ventricular (LV) dysfunction in hypertensive patients presenting to the emergency department (ED) is of critical importance. We aimed to evaluate the performance of artificial intelligence (AI)-assisted Poincar\u00e9 plot analysis of electrocardiogram (ECGs) to identify subclinical LV dysfunction rapidly."}