Sandy Engelhardt
@SandyEngelh
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Prof. @uniklinik_hd | Computer Scientist | Head of Group 'Artificial Intelligence in Cardiovascular Medicine' (AICM) | Views my own
Heidelberg, Germany
Joined April 2018
The evolution of cardiovascular care begins in Berlin at #ESCAIsummit2025. In just a few weeks, join global leaders, healthcare innovators and technologists to explore the digital solutions transforming the field. Register today 👉 https://t.co/NduYaIeWFh
@GerdHindricks
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❤️🖤 Have you started on your journey to the #ESCAIsummit2025 in Berlin? Step into the cutting-edge of digital cardiology by exploring the Scientific Programme and bookmarking your must-see sessions today! Plus, save on your registration fee until 22 October 👉
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Register Now!
❤️🖤 We’re building an ecosystem of innovators – from AI engineers and computer scientists to PhD students and cardiologists – to work collaboratively to advance the field of digital cardiology. This journey begins at the #ESCAIsummit2025 in Berlin from 21-22 November! Embrace
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❤️🖤 We’re building an ecosystem of innovators – from AI engineers and computer scientists to PhD students and cardiologists – to work collaboratively to advance the field of digital cardiology. This journey begins at the #ESCAIsummit2025 in Berlin from 21-22 November! Embrace
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The #ESCAISummit2025 is where the future of cardiovascular care isn’t just imagined – it’s brought to life 🚀 From 21-22 November 2025, join global leaders, healthcare innovators and technologists in Berlin to discover the digital breakthroughs designed to optimise your
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📢 Jedes Herz zählt! Seit 2025 gibt es keine staatlichen Mittel fürs Nationale Register für angeborene Herzfehler (#NRAHF) – lebenswichtige Forschung in Gefahr! Sofortige, nachhaltige Basisfinanzierung muss gesichert werden 📝#Petition mitzeichnen: https://t.co/AKvfBqpdp1
#DGK
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In this article from #EHJDigital we meet @SandyEngelh Scientific Programme Chair of #ESCAIsummit2025 Prof. Engelhardt, esteemed computer scientist, shares her vision for the future of #DigitalHealth in cardiology, highlighting the power of collaboration between clinicians,
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Finally a great opportunity to connect Computer Scientists, AI Engineers and Cardiovascular Sciences. Please come and attend this years ESC Digital and AI summit :)
How do we ensure AI enhances – not replaces – human connection in cardiology? That’s just one of the critical conversations happening at the #ESCAIsummit2025 From AI-powered diagnostics to breakthroughs in 5G, robotics, & virtual care, the Scientific Programme takes you on a
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Our latest @JolleyLab YouTube channel video demonstrates how to export 3DE from Philips Ultrasound Workspace and import them into @3DSlicerApp using SlicerHeart. Thank you to Julia Iacovella and Matt Daemer for this demonstration. https://t.co/Sk987MtwaO
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🤖 Back to the Future der Kardiologie: Tauchen Sie ein in die eCardiology-Sektion der @DGK_org im Raum Ella & Louis Untergeschoss. Der Besuch lohnt sich – auch abseits der Sitzungen! #DGK #DGK2025JT #Kardiologie #KardiovaskuläreMedizin
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Abstract and Technology Submission is now open with Deadline June 12th. Come to Berlin and showcase your Innovation 🤩! @MICCAI_Society @MiccaiStudents
Be where digital transformation happens. #ESCAIsummit2025 is the gateway for cutting-edge digital solutions that are shaping #cvcare From innovation to implementation – Showcase your breakthroughs and lead the change 👉 https://t.co/Ku7IgrF4yD
@SandyEngelh @BruiningNico
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Level up your Transcatheter Edge-to-Edge-Repair skills at @DGK_org!!! #eCardiology My team supports you :)
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Zusammen mit der @AGIKinterv haben wir ein Simulationskonzept für die Jahrestagung auf die Beine gestellt. Es dürfen alle Kommen und Katheterinterventionelle Verfahren selbst probieren. @YoungDgk @YoungDZHK @dzhk_germany @DGK_org
🫀🔬 Erlebe #eCardiology live bei der #DGKJahrestagung in Mannheim! Teste selbst die TEER-#Simulation mit patientenspezifischer Mitralklappe. 📍Ella & Louis Lounge 📅 24.–25.04. 🕘 Hands-on & spannende Sessions zu KI & digitalen Tools! @Herzmedizin_de #eCardiology
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This was a tremendous collaboration with @EmmaSvennberg and all co-authors. This document will provide guidance for authors and readers of AI publications through the EHRA AI checklist. #EHRA2025
State of the art of #ArtificiaIIntelligence in clinical electrophysiology in 2025. A scientific statement of #EHRA_ESC, the Heart Rhythm Society (HRS), and the ESC Working Group in e-Cardiology https://t.co/PKArcWxGUP
@DavidDuncker @netta_doc #Europace
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We are thrilled to present EchoNet-Measurements, an open source, comprehensive AI platform for automated #echofirst measurements. Using more than 1,414,709 annotations from 155,215 studies from 78,037 patients for training, this is the most comprehensive #echofirst segmentation
Consistency - one of the most useful heuristics of whether a medical AI model is good or not. I've noticed that AI models trained on small datasets tend to jitter - jumping a lot from frame to frame - while good, robust models tend to have consistent measurements across the
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We are hiring! If you are interested joining my Lab at @uniklinik_hd in Heidelberg as a Postdoc, reach out to me. We are working in the field of #Federated Learning, Multimodal AI and Cardiovascular Disease, eg https://t.co/xYkLfDLPeX
@dzhk_germany @escardio @MiccaiStudents 🇪🇺 🙌
nature.com
npj Digital Medicine - Real world federated learning with a knowledge distilled transformer for cardiac CT imaging
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The truth is that the scientific process is horribly inefficient and wasteful. But the solution is NOT cutting funds and it’s NOT top down guidance of what should be studied. Instead, we should revolutionize how we publish and improve peer review.
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Great work by #aicm_group PhD student Sven Koehler in cooperation with UT Southwestern Dallas, @ClevelandClinic and @uniklinik_hd!
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DL-based aligned strain identified five times more differences (29 versus 5, P < .01) between fibrotic and nonfibrotic segments compared with traditional strain values and identified abnormal diastolic deformation patterns often missed by traditional methods. 🔥
Detecting heart muscle #fibrosis on #MRI
https://t.co/nuZj1VQIMK
@SandyEngelh @ATandonMD @ClevelandClinic #CVRad #AI #MachineLearning
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