Jeremy Slivnick

New pub: proud to be a part of this study now published in #EHJ @ESC_Journals led by @JSlivnickMD & @pattypellikka, developing & globally validating an #AI model to differentiate amyloidosis from other LVH using a single #EchoFirst 4ch clip. @ASE360 @EACVIPresident @BidmcCvi

Could AI diagnose your heart disease? In a new study, an AI model outperformed current clinical scoring systems for accurately detecting and identifying cardiac amyloidosis, potentially helping doctors give patients earlier, more effective treatments. uchicagomedicine.org/forefront/rese…

I make this point for every single #HCM talk. We wrote about this at @ACCinTouch.org In patients with HCM , MR and LVOT Signal on #Echofirst can be quite confusing. In addition to double checking the SBP with MR jet to confirm LVOT gradient/following tricks can be useful…

Mayo Clinic and Ultromics' AI-powered echocardiography detects cardiac amyloidosis, a life-threatening heart condition, with high sensitivity and accuracy. Early detection is key. Learn more: mayocl.in/44Etbii

This AI echo solution will expedite recognition of patients with cardiac amyloidosis. Appreciate our global team from Massachusetts to Washington, Japan to Argentina ❤️@ehj_ed @JSlivnickMD @MayoClinicCV @Amyloidosisfdn @EchofirstB

The RVU system was implemented in 1992.

New multi-center validation in #JACCAdvances compared multiple algorithms for detecting Cardiac #Amyloidosis. EchoGo® Amyloidosis demonstrated the highest sensitivity and accuracy (AUC 0.92). See paper: sciencedirect.com/science/articl… The study highlights the growing role of AI in…

We know AI-ECG and AI-Echo can detect transthyretin amyloid cardiomyopathy (ATTR-CM), but: – How early can they pick up the phenotype? – Can we track its progression with digital biomarkers? Find out in our @cards_lab study in @ehj_ed Thread below 🧵👇 w/ @rohan_khera…

AI-enhanced echocardiography improves early detection of amyloid buildup in the heart. newsnetwork.mayoclinic.org/discussion/ai-… An artificial intelligence (AI) model developed by Mayo Clinicand Ultromics, Ltd., an AI echocardiography company based in Oxford, England, is highly accurate in…

This week, we raised Dr. Roberto Lang’s lead to the #UChicagoCathLab rafters in tribute to our dear friend & the luminary we @UChicagoMed had the privilege to learn so much from. Thank you for everything Roberto. You will be missed. #CardioTwitter

Big news in pulmonary embolism care: University of Chicago Medicine has been named a Comprehensive Pulmonary Embolism Center of Excellence by @PERTConsortium. 🔹 1 of only 6 centers in the U.S. 🔹 The first and only in the Midwest Led by Jonathan Paul, MD (@Jonathan_PaulMD),…

Proud to see our work on value of #WhyCMR in ATTR-CA with grade 0-1 Tc-PyP in @JACCJournals imaging. 💡 12% of biopsy-proven ATTR-CA have grade 0-1 PyP. Further testing needed if high suspicion. 💡ECV accurately identified ATTR-CA with grade 0-1 Tc-PyP 🔗sciencedirect.com/science/articl…

🫀 Researchers led by @pattypellikka from 🇺🇸 @MayoClinic and @JSlivnickMD from 🇺🇸 @UChicagoCardio, together with 🇬🇧 @ultromics, have trained an #AI to detect cardiac #amyloidosis from a single echocardiogram video of the #heart. dlvr.it/TLxmny

Transthyretin amyloid cardiomyopathy: natural history and treatment response assessed by cardiovascular magnetic resonance. Read more in the @EHJ at doi.org/10.1093/eurhea… #Amyloidosis #CardiacImaging @ESCardio @ESC_Journals

"Yurt" gonna love what we have planned for #ASE2026. Highlights include hands-on POCUS track, innovation hub with #AI, VR sessions, cases from around the world, and an entire program of activities for your family (waterpark, spa, etc) #LearningAndLeisure @ASE360 #Denver

AI screening model accurately differentiates cardiac amyloidosis (CA) from other causes of increased left ventricular wall thickness, which may improve echo CA detection and initiate critical treatment. @DocStrom et al in #EHJ @ESC_Journals bit.ly/4eGs1Ys

Thanks for your precious help with the paper and your leadership of the international collaboration, @JSlivnickMD ! This was a dream team!

📢 New #EHJ study! Our AI screening tool for echo — EchoGo® Amyloidosis — detects cardiac amyloidosis, a life-threatening condition, with high accuracy. Developed with @MayoClinic @UChicago, tested with 18 global sites. See paper & release: ultromics.com/press-releases… #CardioTwitter

This AI screening model used only an apical 4ch echo videoclip & effectively differentiated cardiac amyloidosis from other causes of ⬆️ wall thickness

Just published in European Heart Journal — a global milestone in AI-powered cardiac care. @UChicagoMed’s Drs. Jeremy Slivnick and Roberto Lang (in memoriam) helped lead a multi-center, international study — in collaboration with Dr. Patricia Pellikka (Mayo Clinic) and the…