imagingmedsci
@imagingmedsci
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Prof Michelle Williams academic radiologist @EdinburghUni Associate director @BHFDataScience President elect @BSCImaging BoD @Heart_SCCT Member @YoungAcademySco
Joined December 2014
RT @AuntMinnieEuro: In Lancet, the SCOT-#heart team has unveiled new data on preventative therapy use in a large coronary CT angiography pa…
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RT @TheBHF: Finding from the SCOT-HEART study, part funded by the BHF, revealed that patients who had a CT coronary angiograms (CCTA) scan…
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RT @ShehabAnwer: Several signs to identify #vulnerable #coronary #CAD plaques - join us: with @imagingmedsci - @rma…
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RT @ShehabAnwer: ❤️🔥#CVImaging for identifying vulnerable #plaques goes beyond the #heart - @imagingmedsci @rmanka_ @Alkadhi_rad @Radiolo…
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RT @BSCImaging: CVI inclined Cardiology & Radiology trainees are invited to join the association via the membership link in the website; ht…
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New findings from the #SCOTHEART trial show CCTA-guided care cuts risk of coronary heart disease death or non-fatal MI over 10 years. A big win for stable chest pain management! #cvimaging #TheLancet #CCTA 💙
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RT @journalCCT: Listen now to the lastest JCCT Pulse podcast episode! Hosts @Nidhi_Madan9 and @CsFuss as they take a deep dive into featu…
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RT @damini_dey: "Phenotyping atherosclerotic plaque and perivascular adipose tissue: signalling pathways and clinical biomarkers in atheros…
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RT @ShehabAnwer: 📅16. Jan🫀Join Prof. Michelle C. Williams (@imagingmedsci 🇬🇧) & dive into what matters most in #CVImaging of #CAD in the up…
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⏳ The clock is ticking! Sign up for the BHF Data Science Centre ECG Challenge on @kaggle and showcase your AI skills by classifying heart rhythms. Deadline: 17 Dec 2024. Get involved today! #AIinMedicine #HeartHealth 👉
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🔍 Bring your machine learning expertise to the BHF Data Science Centre ECG Challenge! Classify heart rhythms from ECG images and compete with the best in healthcare data science. Submit by 17 Dec 2024. #DataScienceChallenge #CardiologyAI #AI 👉
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💡 Want to make an impact in healthcare? Sign up for the BHF Data Science Centre ECG Challenge, where you can help classify heart rhythms from ECGs. Deadline: 17 Dec 2024. Don’t miss out! #ECGChallenge #AIforHealthcare #AI 👉
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🫀 Can your model classify heart rhythms from ECG images? Join the BHF Data Science Centre ECG Challenge and push the boundaries of medical AI! Submit your solution by 17 Dec 2024. #MachineLearning #HealthTech #AI 👉
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🚨 Calling all data scientists and AI enthusiasts! Join the the BHF Data Science Centre ECG Challenge on @kaggle and help classify heart rhythms from ECG images. Improve patient care with your skills! Deadline: 17 Dec 2024. #AIforGood #DataScience 👉
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Excited to launch the BHF Data Science Centre ECG Challenge. Let’s push the boundaries of cardiovascular health together! 💻❤️ Visit the webpage now to sign up and take part 👉 #Cardiology #ECG #DataScience #AI #HeartHealth #BHF #MachineLearning
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