cardiologist, #gotocare delivery of real-world data from direct care, professor imperial college, onewelbeck heart health, sometime google fit & health
New digital tools may improve triage for cardiac procedures in the NHS, but must balance clinical, policy, and ethical goals and principles.
Dr. Dan Kramer @Mihir_Kelshiker@DocOfHearts et al in @npjDigitalMed: https://t.co/Fx6c3PFuEy
Thanks @PavlovicDavor for the invitation to speak about our AI- enabled ECG work at @ICVS_UoB @unibirmingham. It was a pleasure to meet and discuss with you and other colleagues.
Delighted to kick off the @CardiacSafety meeting on Remote Monitoring in Clinical Trials — with @DrDave01, @KrishnaPundi, leadership from @iRhythmTech, and so many experts from academia, pharma, medtech, CROs, AROs, and regulatory. It's been a great day of talks; look forward to the afternoon discussion.
@HRSonline What's the collective noun for Presidents? A Powerhouse perhaps? - rather fitting. Thanks for the leadership all🙏🏼 and thanks @nmarrouche for bringing them and us all together ... the #wafib2024 family
PPG-based AF detection devices work best during light or moderate activity, and in patients with lighter skin tones.
Although this interval based detection performance is decreased, the technology is still able to get the job done overall @HamidGhanbariMD#letstalkAI#WAFib2024
The imitable @TinaBaykaner, calm under duress, as she extemporizes on AI with #noslides, as it appears that the AI machines have hijacked her slides. #WAfib2024.
@TulaneTriad@S_NarayanMD Amazing work from Stanford group! Inspiring results. Totally agree that researches need external validating to generate robust science for practice.
Cardiac imaging with #whyCMR has been difficulty or scale for #AFib fibrosis but has potential to help understand atrial myopathy & its reversibility.
➡️ Need to be able to have #EPeeps driven protocols, shorter scan times, better collabs with radiology partners
#WAFib2024
Nice presentation from Han Feng from @TulaneTriad re a new #AI score to predict progression of #AFib
With a training AUC of 0.77 and testing AUC of 0.85, can monitor for progression risk continuously over time and how it changes with various intervention
#WAFib2024