1<!DOCTYPE html> 2<html lang="en"> 3<head> 4 <meta charset="UTF-8" /> 5 <meta name="viewport" content="width=device-width, initial-scale=1.0" /> 6 <title>Evangelos K. Oikonomou, MD, DPhil</title> 7 <meta name="description" content="The Oikonomou Lab at Yale develops and evaluates AI-enabled digital biomarkers for cardiovascular diagnosis, phenotyping, and precision care." /> 8 <link rel="preconnect" href="https://fonts.googleapis.com" /> 9 <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin /> 10 <link href="https://fonts.googleapis.com/css2?family=Lora:ital,wght@0,400;0,600;0,700;1,400;1,600&family=Inter:wght@400;500;600&display=swap" rel="stylesheet" /> 11 <link rel="stylesheet" href="css/style.css" /> 12</head> 13<body data-page="index.html"> 14 15 <!-- ===================== NAV ===================== --> 16 <nav id="nav"> 17 <div class="nav-inner"> 18 <div class="nav-spacer" aria-hidden="true"></div> 19 <ul class="nav-links"> 20 <li><a href="index.html">About</a></li> 21 <li><a href="publications.html">Research</a></li> 22 <li><a href="bio.html">Bio</a></li> 23 <li><a href="team.html">Team & Collaborators</a></li> 24 <li><a href="news.html">News</a></li> 25 <li><a href="funding.html">Grants & Support</a></li> 26 </ul> 27 <button class="nav-toggle" aria-label="Toggle menu" aria-expanded="false"> 28 <svg class="icon-menu" viewBox="0 0 24 24"><line x1="3" y1="6" x2="21" y2="6"/><line x1="3" y1="12" x2="21" y2="12"/><line x1="3" y1="18" x2="21" y2="18"/></svg> 29 <svg class="icon-close" viewBox="0 0 24 24"><line x1="18" y1="6" x2="6" y2="18"/><line x1="6" y1="6" x2="18" y2="18"/></svg> 30 </button> 31 </div> 32 </nav> 33 <div class="nav-mobile-drawer" id="nav-mobile-drawer"> 34 <a href="index.html">About</a> 35 <a href="publications.html">Research</a> 36 <a href="bio.html">Bio</a> 37 <a href="team.html">Team & Collaborators</a> 38 <a href="news.html">News</a> 39 <a href="funding.html">Grants & Support</a> 40 </div> 41 42 <!-- ===================== LAB HERO ===================== --> 43 <div class="lab-hero lab-hero--cover" style="background-image: url('images/general/coverpage.jpeg');"> 44 <div class="lab-hero-inner"> 45 <div class="lab-hero-text"> 46 <h1 class="lab-hero-name">Welcome to our Lab</h1> 47 <p class="lab-hero-subtitle">Using AI to decode the hidden signals of cardiovascular and cardiometabolic disease</p> 48 <p class="lab-hero-context">Section of Cardiovascular Medicine · Yale School of Medicine</p> 49 <p class="lab-hero-link"><a href="https://medicine.yale.edu/profile/evangelos-oikonomou/" target="_blank" rel="noopener">Yale Faculty Profile â</a></p> 50 <p class="lab-hero-link"><a href="https://www.cards-lab.org/" target="_blank" rel="noopener">CarDS Lab â</a></p> 51 </div> 52 </div> 53 </div> 54 55 <div class="home-wrap"> 56 <div class="home-sidebar"> 57 <img src="Photos/YSM6319_0453_E_Oikonomou copy.jpg" alt="Evangelos K. Oikonomou" class="sidebar-photo" /> 58 <p class="sidebar-pi-label">Principal Investigator</p> 59 <h1 class="sidebar-name">Evangelos K. Oikonomou</h1> 60 <p class="sidebar-creds">MD, DPhil</p> 61 <p class="sidebar-title">Assistant Professor of Medicine</p> 62 <p class="sidebar-dept">Section of Cardiovascular Medicine<br/>Department of Internal Medicine<br/>Yale School of Medicine</p> 63 <p class="sidebar-title">Deputy Editor</p> 64 <p class="sidebar-dept">European Heart Journal</p> 65 <p class="sidebar-title">Associate Director</p> 66 <p class="sidebar-dept">Yale CarDS Lab</p> 67 68 <div class="sidebar-icon-row" style="border-top: 1px solid var(--border); padding-top: 1rem; margin-top: 0.25rem;"> 69 <!-- Email --> 70 <a class="btn-icon-circle" href="#" data-email-link data-user="ZXZhbmdlbG9zLm9pa29ub21vdQ==" data-domain="eWFsZS5lZHU=" data-enc="b64" aria-label="Email"> 71 <svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"> 72 <rect x="2" y="4" width="20" height="16" rx="2"/><polyline points="2,4 12,13 22,4"/> 73 </svg> 74 </a> 75 <!-- Google Scholar --> 76 <a class="btn-icon-circle" href="https://scholar.google.com/citations?user=GgJv1SMAAAAJ&hl=en" target="_blank" rel="noopener" aria-label="Google Scholar"> 77 <svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"> 78 <path d="M22 10v6M2 10l10-5 10 5-10 5z"/><path d="M6 12v5c3 3 9 3 12 0v-5"/> 79 </svg> 80 </a> 81 <!-- X / Twitter --> 82 <a class="btn-icon-circle" href="https://x.com/ekoikonomou" target="_blank" rel="noopener" aria-label="X / Twitter"> 83 <svg viewBox="0 0 24 24" fill="currentColor" stroke="none" style="width:14px;
83height:14px;"> 84 <path d="M18.244 2.25h3.308l-7.227 8.26 8.502 11.24H16.17l-5.214-6.817L4.99 21.75H1.68l7.73-8.835L1.254 2.25H8.08l4.713 6.231zm-1.161 17.52h1.833L7.084 4.126H5.117z"/> 85 </svg> 86 </a> 87 <!-- LinkedIn --> 88 <a class="btn-icon-circle" href="https://www.linkedin.com/in/evangelos-k-oikonomou-009781b0/" target="_blank" rel="noopener" aria-label="LinkedIn"> 89 <svg viewBox="0 0 24 24" fill="currentColor" stroke="none" style="width:15px;height:15px;"> 90 <path d="M20.447 20.452h-3.554v-5.569c0-1.328-.027-3.037-1.852-3.037-1.853 0-2.136 1.445-2.136 2.939v5.667H9.351V9h3.414v1.561h.046c.477-.9 1.637-1.85 3.37-1.85 3.601 0 4.267 2.37 4.267 5.455v6.286zM5.337 7.433a2.062 2.062 0 0 1-2.063-2.065 2.064 2.064 0 1 1 2.063 2.065zm1.782 13.019H3.555V9h3.564v11.452zM22.225 0H1.771C.792 0 0 .774 0 1.729v20.542C0 23.227.792 24 1.771 24h20.451C23.2 24 24 23.227 24 22.271V1.729C24 .774 23.2 0 22.222 0h.003z"/> 91 </svg> 92 </a> 93 </div> 94 95 <div class="sidebar-address"> 96 <p>Section of Cardiovascular Medicine<br/> 97 Department of Internal Medicine<br/> 98 Yale School of Medicine<br/> 99 100 Church Street South<br/> 100 New Haven, CT 06519</p> 101 <a href="https://medicine.yale.edu/profile/evangelos-oikonomou/" target="_blank" rel="noopener">Yale Faculty Profile â</a> 102 </div> 103 </div> 104 105 <div class="home-main"> 106 107 <!-- WHAT WE DO --> 108 <section class="home-section"> 109 <h2 class="section-title">What We Do</h2> 110 111 <p class="about-lead">Our work follows a translational arc from computational method development to clinical deployment and discovery. We develop and apply AI to multimodal data already generated in care (including echocardiography, cardiac CT, ECG, and longitudinal health records) to define cardiovascular phenotypes more precisely, detect disease earlier, and match therapies to the patients most likely to benefit.</p> 112 113 <div class="translation-arc" aria-label="Our translational research arc"> 114 <div class="translation-step"> 115 <span class="translation-num">01</span> 116 <h3>Develop</h3> 117 <p>Create new computational techniques that align, reconstruct, and learn from multimodal clinical data.</p> 118 </div> 119 <div class="translation-step"> 120 <span class="translation-num">02</span> 121 <h3>Build</h3> 122 <p>Train foundation models and task-specific models for defined cardiovascular questions.</p> 123 </div> 124 <div class="translation-step"> 125 <span class="translation-num">03</span> 126 <h3>Validate</h3> 127 <p>Test performance, transportability, and equity across institutions, populations, and prospective cohorts.</p> 128 </div> 129 <div class="translation-step"> 130 <span class="translation-num">04</span> 131 <h3>Deploy</h3> 132 <p>Use validated models to screen for disease, predict risk, and link patient phenotypes to therapies.</p> 133 </div> 134 <div class="translation-step"> 135 <span class="translation-num">05</span> 136 <h3>Discover</h3> 137 <p>Learn from deployment to reveal disease biology and generate the next clinical and computational questions.</p> 138 </div> 139 </div> 140 141 <p class="about-footer-note">This cycle connects method development to measurable clinical use, then feeds new observations back into discovery. <a href="publications.html">Explore our specific research areas â</a></p> 142 143 </section> 144 145 <!-- JOIN US --> 146 <section class="home-section"> 147 <h2 class="section-title">Work With Us</h2> 148 <div class="recruiting-card"> 149 <div class="recruiting-title">We welcome researchers working at the intersection of cardiovascular medicine, imaging, AI, and translational data science.</div> 150 <p class="recruiting-body">We are especially interested in people who want to ask clinically important questions, build rigorous quantitative methods, and test them in real care settings.</p> 151 <p class="recruiting-contact"><a href="#" data-email-link data-user="ZXZhbmdlbG9zLm9pa29ub21vdQ==" data-domain="eWFsZS5lZHU=" data-enc="b64">Contact us â</a></p> 152 </div> 153 </section> 154 155 <!-- FEATURED WORKS --> 156 <section class="home-section" id="featured-works"> 157 <h2 class="section-title">Featured Works</h2> 158 <div class="paper-carousel" id="paper-carousel"> 159 <div class="paper-carousel-track"> 160 <div class="pc-slide" data-caption="Radiomic phenotyping of epicardial fat from routine cardiac CT can identify heart failure risk early from standard imaging data. <em>J Am Coll Cardiol</em> 2026."><img src="images/papers/JACC2026_fig.png" alt="JACC 2026 figure" /></div> 161 <div class="pc-slide" data-caption="In previous work, we have helped reframe c
161oronary CT from anatomy alone to a biologic readout of vascular inflammation and residual cardiovascular risk. <em>Lancet</em> 2018."><img src="images/papers/Lancet2018_PVAT.png" alt="CRISP-CT figure - The Lancet 2018" /></div> 162 <div class="pc-slide" data-caption="In previous work, we have introduced novel radiotranscriptomic approaches that translate imaging texture into scalable signatures of vascular biology for patient-level cardiac risk prediction. <em>Eur Heart J</em> 2019."><img src="images/papers/EHJ2019_figure.png" alt="EHJ 2019 figure" /></div> 163 <div class="pc-slide" data-caption="In previous work, we have developed computational phenomaps to move beyond average trial effects and match therapies to the patients most likely to benefit. <em>Lancet Digit Health</em> 2022."><img src="images/papers/LDH2023_figure.png" alt="Lancet Digital Health 2022 figure" /></div> 164 <div class="pc-slide" data-caption="Digital biomarkers from routine echocardiographic video can detect biologically active valvular disease before conventional thresholds are crossed. <em>JAMA Cardiol</em> 2024."><img src="images/papers/JAMACard2024_fig.png" alt="JAMA Cardiology 2024 figure" /></div> 165 <div class="pc-slide" data-caption="Artificial intelligence can be adapted to point-of-care ultrasound to screen for under-recognized cardiomyopathies in real-world care settings. <em>Lancet Digit Health</em> 2025."><img src="images/papers/LDH2025_pocus.png" alt="Lancet Digital Health 2025 POCUS figure" /></div> 166 <div class="pc-slide" data-caption="We introduced a multimodal approach for monitoring pre-clinical transthyretin amyloid cardiomyopathy before overt clinical presentation. <em>Eur Heart J</em> 2025."><img src="images/papers/EHJ2025_attr_fig.png" alt="EHJ 2025 ATTR-CM figure" /></div> 167 <div class="pc-slide" data-caption="Low-friction AI surveillance can be embedded into oncology care to identify cardiotoxicity risk early enough for prevention and treatment continuity. <em>Circ Cardiovasc Qual Outcomes</em> 2025."><img src="images/papers/CircOutcomes2025_fig2.png" alt="Circulation Outcomes 2025 figure" /></div> 168 <div class="pc-slide" data-caption="Targeted deployment frameworks direct clinical AI to the patients, workflows, and health-system contexts where it can add the most value. <em>NEJM AI</em> 2026."><img src="images/papers/NEJMAI2026_fig1.png" alt="NEJM AI 2026 figure 1" /></div> 169 <div class="pc-slide" data-caption="We advanced a deployment-science framework for clinical AI centered on impact, efficiency, and equity rather than model performance alone. <em>NEJM AI</em> 2026."><img src="images/papers/NEJMAI2026_fig3.png" alt="NEJM AI 2026 figure 3" /></div> 170 <button class="pc-prev" aria-label="Previous"><svg viewBox="0 0 24 24"><polyline points="15 18 9 12 15 6"/></svg></button> 171 <button class="pc-next" aria-label="Next"><svg viewBox="0 0 24 24"><polyline points="9 18 15 12 9 6"/></svg></button> 172 </div> 173 <div class="pc-caption" id="pc-caption"></div> 174 </div> 175 <div class="pc-dots" id="pc-dots"></div> 176 </section> 177 178 </div> 179 </div> 180 181 <!-- ===================== FOOTER ===================== --> 182 <footer> 183 <div class="footer-inner"> 184 <span class="footer-copy">© 2026 Evangelos K. Oikonomou</span> 185 <div class="footer-links"> 186 <a href="https://scholar.google.com/citations?user=GgJv1SMAAAAJ&hl=en" target="_blank" rel="noopener">Google Scholar</a> 187 <a href="https://x.com/ekoikonomou" target="_blank" rel="noopener">X</a> 188 <a href="https://www.linkedin.com/in/evangelos-k-oikonomou-009781b0/" target="_blank" rel="noopener">LinkedIn</a> 189 <a href="https://medicine.yale.edu/profile/evangelos-oikonomou/" target="_blank" rel="noopener">Yale Profile</a> 190 </div> 191 </div> 192 </footer> 193 194
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