{"version":"1.0","provider_name":"AI 4 Performance","provider_url":"https:\/\/ai4performance.com\/en","author_name":"admin","author_url":"https:\/\/ai4performance.com\/en\/author\/admin\/","title":"Effiziente KI Herztod-Risiko Vorhersage: Chancen und Anwendungen - AI 4 Performance","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"xQysvPf0x7\"><a href=\"https:\/\/ai4performance.com\/en\/ki-herztod-risiko-vorhersage\/\">Efficient AI cardiac death risk prediction: opportunities and applications<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/ai4performance.com\/en\/ki-herztod-risiko-vorhersage\/embed\/#?secret=xQysvPf0x7\" width=\"600\" height=\"338\" title=\"&#8220;Effiziente KI Herztod-Risiko Vorhersage: Chancen und Anwendungen&#8221; &#8212; AI 4 Performance\" data-secret=\"xQysvPf0x7\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\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:\/\/ai4performance.com\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>","thumbnail_url":"https:\/\/ai4performance.com\/wp-content\/uploads\/2025\/07\/male-doctor-his-office-using-virtual-reality-glasses-looking-virtual-heart_306105-1452.jpg","thumbnail_width":626,"thumbnail_height":417,"description":"Stell dir vor, man k\u00f6nnte den pl\u00f6tzlichen Herztod schon viel fr\u00fcher erkennen, bevor es zu sp\u00e4t ist. Genau das macht das neue KI-Modell von der Johns Hopkins University m\u00f6glich. Es ist wie ein Superheld unter den medizinischen Tools, das mit beeindruckender Pr\u00e4zision das Risiko f\u00fcr Herzstillstand vorhersagt. F\u00fcr Patienten, \u00c4rzte und das Gesundheitssystem ein echter..."}