Congratulations to @joseph_cho1 , @mrudangm14 , and the Stanford and CHOP teams.
Excited to share that EchoAI-Peds is now published at Circulation! @CircAHA ahajournals.org/doi/10.1161/CI…View quoted post on X
Jolley Lab
@JolleyLab
Lab Goals: 3D image-based computer modeling of pediatric hearts and valves to inform precision medicine and intervention. PI: Matthew A. Jolley.
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Congratulations to @joseph_cho1, @mrudangm14 and team on their pre-print describing the first multi-task ML model for interpreting pediatric echocardiograms! @HeartCare4Kids @CHOP_Research
We are excited to announce 🔥EchoAI-Peds 🔥, the first multi-task deep learning model for pediatric #echofirst analysis.
It's been a pleasure to lead this alongside @mrudangm14 under the guidance of @hiesingerlab and in close collaboration with @jolleylab.
Link below⬇️
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Congratulations to Seda Aslan, Nicolas Mangine, @DW_Laurence, @wensi_wu, and the @FEBioSoftware team on their preprint describing FE simulation of current and emerging transcatheter valve repairs: arxiv.org/abs/2509.22865 @HeartCare4Kids @MEAM_Penn @CHOP_Research
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Congratulations to Yuval Barak-Corren, Matt Daemer, Andras Lasso, Kyle Sunderland and the SlicerHeart team on the their publication in @MyJSCAI : sciencedirect.com/science/articl… @HeartCare4Kids @CHOP_Research @picslupenn
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Thank you to @MedicineUVA student Tylah Harrison for her QI-based efforts to evaluate and improve the utility of a web-based viewer for 3D image-derived models to inform the planning of cardiac interventions in children as part of the @ChildrensPhila SUMMR program.
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