1.04DMedical UShttps://4dmedical.com/usrich600338<blockquote class="wp-embedded-content" data-secret="4g0Q2Q9PPH"><a href="https://4dmedical.com/us/blog/2025/04/27/lung-imaging-trends/">Lung Imaging Trends</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://4dmedical.com/us/blog/2025/04/27/lung-imaging-trends/embed/#?secret=4g0Q2Q9PPH" width="600" height="338" title="“Lung Imaging Trends” — 4DMedical US" data-secret="4g0Q2Q9PPH" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !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); //# sourceURL=https://4dmedical.com/us/wp-includes/js/wp-embed.min.js </script> https://4dmedical.com/us/wp-content/uploads/2025/04/Lung-Imaging-Trends.jpg1000400Lung imaging is entering a new era with advancements in AI, machine learning, and innovative imaging techniques. Historically, diagnosing chronic respiratory conditions like asthma, COPD, and bronchiectasis has been difficult. Patients may report regular symptoms, yet their lungs often look “unremarkable” on traditional imaging methods.  In many cases, a lung biopsy, which is costly and risky, is required to confirm a diagnosis. Today, new technologies offer unprecedented insights into lung health, using advanced processing systems to analyze large volumes of scans and identify diseases without requiring invasive procedures. This enables earlier detection and more personalized treatment options than ever before.