Ready to share your groundbreaking research in AI/ML applications for advanced diagnosis of CVD? Our upcoming themed issue is the perfect platform for your work. Submission deadline: May 30, 2024, learn more: https://t.co/EiJUqFu676

Unveil insights from a comprehensive study on KardiaMobile's algorithm for cardiac arrhythmias. Solid accuracy in sinus rhythm detection makes it a potential standalone solution. Read more: https://t.co/08GQ8ionV0

Many CIEDs experience remote monitoring disconnections. This study examines how introducing an SMS system demonstrated reduces reconnection time https://t.co/khVxnPEmf3

Telemonitoring with KardiaMobile: ECG interpretation for cardiac arrhythmias. The algorithm's robust performance in detecting sinus rhythm makes it promising. Read more:

This recently pubished manuscrip examines the disconnection issue in cardiac implantable electronic device patients. The implementation of an automatic SMS system significantly cut reconnection time by 43%, highlighting a potential solution. Read more https://t.co/khVxnPEmf3

Investigating remote monitoring in cardiac implantable electronic device (CIED) patients, a this study reveals 43% experienced disconnections. Read more to learn how SMS significantly reduced reconnection time https://t.co/khVxnPEmf3

Explore the potential of KardiaMobile in eHealth for cardiac arrhythmias. High validity in detecting sinus rhythm suggests standalone utility. Read more https://t.co/08GQ8ionV0

New year, New podcast episode! Join host @LiamButler2405 and Dr. Matthew Kalscheur from @uw_cvm as they discuss the use of a computerized CDSS to dose intraprocedural anticoagulation during AF ablation, aiming for improved outcomes.

Attention researchers in AI and cardiovascular health! We invite you to submit your manuscripts on AI/ML applications for advanced diagnosis. Deadline: May 30, 2024. Your contribution could help shape the future of patient care. For more information visit: https://t.co/EiJUqFu676

ICYMI: Discover how your smartwatch could be a game-changer in heart health! @ArmanNas explains the ME-TIME study. Learn about the potential of wearable tech in early detection of heart conditions. #EPeeps

People living with HIV are at higher risk for cardiovascular disease. This recent manuscript explores how text messaging can be a game-changer in raising awareness and promoting heart health among PWH. Read more now https://t.co/bP1nTdbOvg

New Podcast Episode! Arman Naseri joins @HamidGhanbariMD on our latest podcast to dive into the ME-TIME study. They discuss how data-efficient ML methods are revolutionizing the detection of atrial fibrillation & heart failure using wearables. Listen now

Ever wondered what drives our top reviewers? Tune in to this episode featuring Dr. Konstantinos Siontis, as he chats about his delightful 'sweet' hobby, his research, and gives some insightful tips to reviewers and authors that'll leave you inspired! https://t.co/nJv56EQo7y

Seismofit's performance in estimating oxygen consumption is in the spotlight. The device proved highly reliable within and between test days but tended to underestimate V.O2peak. Stay tuned for further developments in medical technology. Read more about it: https://t.co/WUwnGprt3M

A recent study examined Seismofit, a medical device using chest vibrations to estimate oxygen consumption. While it demonstrated high reliability, it showed a bias compared to the gold standard method. Read more about the study now: https://t.co/WUwnGprt3M

A new peer-reviewed study published in the @CVDH_journal, led by @JagSinghMD shows new algorithm detects clinically relevant events leads to a >85% decrease in AF burden–related alerts compared to alerts transmitted by a CIED.

New study sheds light on AF symptoms. Research shows a strong link between AF episodes and symptoms like palpitations, shortness of breath, dizziness, and fatigue, especially within 15 minutes. Could early symptom recognition improve AF management? https://t.co/WUwnGprt3M

In this recently published manuscript, this algorithm detects clinically relevant AF events and provides a more accurate classification of AF presentations, including "return to sinus rhythm," which is not possible with standard AF burden-related alerts. https://t.co/cBrM6UZSwP

Get to know the mind behind the reviews! Join us on this episode & dive into the world of Dr. Konstantinos Siontis. Hosted by @JasneetDevgun. Get ready for insights into his research, reviewing passion, and learn about his 'sweet' hobby. https://t.co/nJv56EQo7y

ICYMI: Dr. Bashar dives deep into his research, the power of mentorship, and the art of reviewing manuscripts. Tune in with host @JasneetDevgun. Listen now on your favorite podcast app https://t.co/wKmigIMrxz