Our health care system's under stress, but we can leverage big data sources to transform health care, making it more precise & personalized. We're uniquely set up to provide tomorrow’s health care today. More at:https://t.co/jPyFpvcC8O
@UCalgaryMed@calgaryherald@JasonCoppingAB
🇨🇦and international imaging pros connecting on projects at #ESCCongress. Delighted @SCC_CCS is the perfect hub! Great to connect in person again @JAWhiteMD @chiarabd ❤️
New Research: Machine Learning Patient-Specific Prediction of Heart Failure Hospitalization Using Cardiac MRI-Based Phenotype and Electronic Health Information: Background
Heart failure (HF) hospitalization is a dominant contributor of… https://t.co/ATQKZ0trxS #cardiovascular
Confirmative study showing that patients with septal midwall fibrosis detected by CMR have a worse prognosis (even -> arrhythmia), additive to EF. This supports the strong evidence for septal midwall fibrosis as a prime prognostic marker. https://t.co/lm76TBYQPl
Please share! Post-doctoral fellowships available! Join our data science team to expand personalized care through cardiac diagnostics. @LibinInstitute@AmiiThinks#MachineLearning#AI#Hiring click link for learn more: https://t.co/yoXzNWF90S
Happy to share our latest #whyCMR publication in @radiology_rsna!
We found that myocarditis following vaccination is associated with less functional impairment and less severe myocardial injury compared to other causes of myocarditis including COVID-19
https://t.co/lwnj6OgvbT
Network meta-analysis of 75 trials across nearly 100K participants shows "quadruple therapy" with ARNI+BB+MRA+SGLT2i was most effective in reducing death…by 61%. https://t.co/Ws2DfJ229U
#JACCHF#HFrEF#HeartFailure#SGLT2i#GDMTWorks @DrJasper1 @AdriaanVoors@lamcardio
SASHA goes multi-parametric! T1 and T2 mapping with mSASHA in a single breath-hold is as accurate as SASHA and as precise as MOLLI and T2p-bSSFP. Have your cake and eat it too! 🍰😋 Thanks to all my co-authors @JAWhiteMD @KellmanPeter et al https://t.co/PKPXeVRayN
Mid wall striae fibrosis identifies DCM with LVEF>35% at similar risk to LVEF<35% for HF and Life threatening arrhythmic events. See publication in Nature Scientific Reports. https://t.co/lNnI0TVHyT #whyCMR#HeartFailure#CardioTwitter#SCMR22@LibinInstitute@Yanish12
https://t.co/KHtkz4Xe4i patients with “non-severe” LVSD with midwall scar on CMR have comparable adverse outcomes compared to patients with severe LVSD. @chiarabd@s_e_petersen@SCMRorg@canSCMR@JAWhiteMD
#JACCIMG explores 3D vs 2D #echofirst RV strain.
3D longitudinal RV free wall strain (RVFWLS) was additive over 2D RVFWLS & conventional echo indices for predicting severe RV myocardial fibrosis in end-stage #cvCHF. https://t.co/lml8u6JjKL
#cvImaging#CardioTwitter#ACCImaging
New #AI technique (VNE) offers #CMR tissue characterization technology that can significantly reduce scan time and obviate the need for contrast agent. https://t.co/9DyTN8USYu #AHAJournals@RDMOxford@QiangZhangAiCmr
Is RV Insertion Site Fibrosis relevant in patients with DCM? Objective reporting criteria presented with associations to bi-ventricular remodelling and clinical outcomes from the CIROC Registry. See full JCMR paper: https://t.co/6wPfNObaod