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This is the official Twitter/X account for the Imperial Cardiac Electrophysiology and AI (https://t.co/yXeCFhFpDa) Research Group.
Check out our research at: https://t.co/TPAKc8wxNl
Massive congratulations to Xili Shi for passing his PhD viva! It was a pleasure supervising you over the last 4 years.
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Thanks to @MartinBishopKCL for taking the time to examine him.
@ImperialNHLI@CardiacEPAI
Terrific presentation by @DrFuSiongNg on AI-ECG.
Humans’ rule-based interpretation limits the potential of ECG interpretation.
Diving into supervised and non-supervised ML. #AI#A-ECG
#HRC2024
Insightful and inspiring, @arunsau_ at #HRC2024! He dives into AI in prognostics, therapeutics, and superhuman diagnostics abilities. How prediction of future diseases can help patient care! #AIinMedicine#FutureOfHealthcare#HRC2024
Kicking off the Digital Technologies session with @DrAhranArnold.
Thorough and interesting overview on wearable devices and how they can guide clinical decision-making.
Chaired by @DrFuSiongNg
Our final editor's pick article is an education article on the emerging role of artificial intelligence enabled electrocardiograms in healthcare by @arunsau_ and @DrFuSiongNg.
Read the full article here: https://t.co/i7AHmG3zOu
#bmjeditorspick#artificialintelligence
Another insightful talk by @KPatlatzoglou on digitizing ECG images for AI-based mortality prediction. 📸
Clever approach to leverage existing ECG data for prognostic purposes. Potential to unlock a wealth of image ECG datasets for model development. #ESCCongress2024
Excellent presentation by @KPatlatzoglou on AI-ECG derived BMI predicting cardiometabolic disease. 📸
Intriguing link between ECG patterns and metabolic health. AI-ECG-predicted BMI better than BMI in risk prediction. #ESCCongress2024