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Excellent work on AI by the Oxford group using CMR image data from HCMR. UVA Cardio UVA Cardiology Fellowship Society for Cardiovascular Magnetic Resonance nhlbi Dr. Michael Salerno M.D. P.h.D

Circulation RDM Oxford The AI deep learning is effectively acting as a “virtual contrast agent” that enhances the native CMR without the need for gadolinium. This work is funded by British Heart Foundation NIHR Oxford Biomedical Research Centre NIH and uses HCM Registry image data. Thanks to all collaborators RDM Oxford UVA Harvard Medical School

Potentially significant new CMR scan technique developed by team RDM Oxford for detecting heart muscle disease, where #AI effectively replaces injected contrast dye oxfordbrc.nihr.ac.uk/ai-replaces-co… Qiang Zhang

BBC special programme - Increasingly important role of AI in healthcare. In #whyCMR, deep learning AI is fast-evolving and about to become disruptive. bbc.co.uk/iplayer/episod…

Glad to share thoughts on AI in healthcare, in particular, development of fast MRI scanning of the heart without dye injection University of Oxford, on Times Radio hosted by Carole Walker. Our session from 01:37:00 thetimes.co.uk/radio/show/202… RDM Oxford British Heart Foundation

#Editorial: Automated non-contrast myocardial tissue characterisation for #HCM - Holy grail or false prophet? ow.ly/UcGD50FX2DD Greg Hundley @JenJordanPhD #AHAJournals

Very insightful Circulation editorial by Charlotte Manisty and @JenJordanPhD and Circulation on the run podcast with Victoria Delgado on our contrast-free VNE AI alternative to LGE #whyCMR in HCM patients. Great work led by Qiang Zhang RDM Oxford Open access: ahajournals.org/doi/10.1161/CI…

Proud that our work on #VNE - tissue characterisation without using contrast on #whyCMR - was chosen as a highlight publication of the year by C Bucciarelli-Ducci at #BSCMR2021 today. Qiang Zhang Matt Burrage RDM Oxford

Many thanks to our fantastic team RDM Oxford making this work and award possible.🙏

Call for papers: Deep Learning Generative Adversarial Networks in Cardiovascular Research, co-editing with Frontiers in Cardiovascular Medicine. This topic focuses on GAN applications to various cardiovascular research. frontiersin.org/research-topic…

#CallForPapers "Generative Adversarial Networks in Cardiovascular Research" 📅 2nd February 2023 Submit your paper here 👉 fro.ntiers.in/AoET

Qiang Zhang on how artificial intelligence is shaping medical imaging ox.ac.uk/news/features/…

Excited to have our VNE work published in Circulation Circulation: AI-powered Virtual Native Enhancement (VNE) of CMR can assess myocardial infarction scar without IV contrasts. A joint effort with Matt Burrage Mayooran Shan and team RDM Oxford ahajournals.org/doi/10.1161/CI…

ARTICLE: How artificial intelligence is shaping medical imaging Dr Qiang Zhang of RDM Oxford explains how artificial intelligence is being used to help researchers and physicians interpret medical imaging. medsci.ox.ac.uk/news/how-artif…

Contrast-Free Scans Herald 'New Era' of Medical Imaging medscape.co.uk/viewarticle/co…

Researchers Using UK Biobank to Create 'Ambitious' Longitudinal Scan Database medscape.co.uk/viewarticle/re…

On new year's day 2023 in a Tesco store, found The Sunday Times article about our recent research on AI enhancement of CMR, funded by British Heart Foundation Oxford CRE. RDM Oxford Ben Spencer Lisa Jones

Volume II: Frontiers Research Topic on Generative AI in cardiovascular imaging & medicine, Guang Yang. Call for papers: frontiersin.org/research-topic…

A comprehensive introduction of [AI in CMR imaging], and proposition of a [Roadmap to Clinical Translation]; co-written by teams Fred Virginia BME, Claudia Claudia Prieto, Declan Declan O'Regan, regulatory experts and industrial partners: sciencedirect.com/science/articl…