🫀🤖 Can AI assess diastolic function?
Against invasive filling pressures:
🇺🇸 AUC 0.879
🇯🇵 AUC 0.816
AI also improved prognostic discrimination in ARIC (n=5,450).
🌍 Great collaboration!
https://t.co/rxaXrqd6Op
@MayoClinicHS@tokmarton@KagiyamaNobu@lamcardio@ASE360
Thrilled to welcome Dr. Faysal Alhasan to the @MayoClinicHS@MayoClinic Department of CV Medicine.❤️
He joins us from @MedicalCollege, with expertise in multimodality imaging, cardio-oncology, cardio-obstetrics & HCM.
One new face introduced—many more to come. Stay tuned!
Thrilled to welcome Dr. Faysal Alhasan to the @MayoClinicHS@MayoClinic Department of CV Medicine.❤️
He joins us from @MedicalCollege, with expertise in multimodality imaging, cardio-oncology, cardio-obstetrics & HCM.
One new face introduced—many more to come. Stay tuned!
Who are these new faces? 👀❤️
A new chapter is taking shape at @MayoClinicHS Cardiovascular Medicine.
Outstanding physicians are joining—and I’ll introduce them one by one.
Recognize someone? Give them a shout-out!
New faces. New colleagues. One growing cardiovascular team.
🔬 Excited to share our new study, just published in Life, showcasing a bloodless, leadless, rapid technology to diagnose acute coronary syndromes due to high-risk obstructive atherosclerotic coronary artery disease! @ppsengupta1@atandraburman#DigitalHealthcare@WearableTech
📢 Our prospective, multicenter iSENSE-ACS study evaluated a wrist-worn, bloodless, and electrode-free infrared sensor for rapid assessment of suspected acute coronary syndromes.
Could a 3-minute test help accelerate ACS triage at the point of care?
🔗 https://t.co/eKeS5aQubO
🫀 Delighted to share our new EHJ hypothesis that challenges conventional thinking in AS.
Our AI work uncovered a paradox https://t.co/o5YScZmVZO.
Sometimes the most important contribution of AI is not providing an answer—it is revealing a question we never thought to ask.
Diastolic dysfunction is linked to the initiation and progression of aortic stenosis: a hypothesis just published in #EHJ
👉 https://t.co/5URSoyPQ2J
@RoccoMontone@ehj_ed
How is #AI reshaping #echocardiography? 🫀
At #CSEcho2026, experts including Dr. Christina Luong, Dr. Partho Sengupta, and Dr. Francois Tournoux explored how AI is advancing echo practice through automated image acquisition and quantification, enhanced valvular heart disease diagnosis and risk stratification, and AI-augmented workflows that improve efficiency while preserving clinical expertise.
As AI becomes increasingly integrated in the field of echocardiography, it is critical to understand the value of these tools, and how they can be used to support a precision health approach, helping to deliver more personalized, data-driven cardiovascular care.
We were thrilled to welcome Drs. Luong, Sengupta, and Tournoux to #Vancouver and are grateful for their valuable insights!
👀Missed this session? All attendees receive on demand access to all recorded sessions for the next 6 months!
@CardioUBC@DilawriCVI@VCHhealthcare@amerjohri@pattypellikka@HeartDocSharon@ChiMingChow1@ChetritMichael@drsabede@OKiamanesh@AnaBaracCardio@dineshpmcc1@NathanLeader22
Epic @ahascience Fellows Society night w/ best of the best ✨teaching about trials & tribulations of AI in Cardiology!
@ACCinTouch President @Drroxmehran : “at the end of the day patients want you to look into their eyes, feel your stethoscope on their chest and hear your voice”
So maybe…@PierreEliasMD & @ExtraStim@ppsengupta1 shared… the point of #AI is not just to increase efficiency but rather to increase the time & space for empathy & human connection!
Congratulations to the graduating & incoming board for 2026-2027! Incredible legacy of a program founded by #ValentinFuster over 35 years ago!
Is AI a tool, a teammate, or a threat to cardiology? Come find out. 🫀
Calling all cardiology fellows in the NYC area — join us May 12 at 3 West Club for a free evening of debate and dinner with some of the biggest names in the field.
Featuring: #ValentinFuster@Drroxmehran@PierreEliasMD@ExtraStim@ppsengupta1
RSVP : https://t.co/TVPOOR81Qr
🇦🇮 💬 How does AI identify valve disease? Join the discussion with Dr. @ppsengupta1 at #CSE 2026 Echo Weekend.
Dr. Partho P. Sengupta, MD, MBBS, FACC, is a tenured Professor of Medicine, Chief of the Division of Cardiology at Rutgers Robert Wood Johnson Medical School, and Chief of the Cardiovascular Service Line at Robert Wood Johnson University Hospital. He completed his residency and cardiology fellowship at the Mayo Clinic (Rochester and Arizona) in 2007 and 2010.
An internationally recognized leader in cardiac imaging, digital health, and artificial intelligence, Dr. Sengupta has authored more than 330 peer-reviewed publications (H-index: 72). His research focuses on advanced ultrasound imaging, AI-enabled diagnostics, robotics, and wearable technologies. He has directed multidisciplinary teams to pioneer mobile health and point-of-care ultrasound programs, including landmark ASE Foundation initiatives such as ASE-REWARDS, ASE-VISION-in-Tele-Echo, and ASEF-VALUES, which advanced community outreach, digital platforms, and global learning in echocardiography.
Dr. Sengupta has also made milestone contributions to imaging informatics. He reported one of the earliest applications of machine learning in echocardiography (2013) and more recently led the development of the PRIME checklist, now adopted by the ACC and JACC: Cardiovascular Imaging as the standard framework for evaluating artificial intelligence in cardiovascular imaging.
His achievements have been widely recognized. He received the 2026 Distinguished Scientist Award (Translational Domain), was named among the Top 1% Healthcare Research All-Stars for 2025 by Avant-Garde Health, and received the 2024 AACIO Award for Outstanding Achievements in Cardiology, the 2023 NJBiz Healthcare Hero Award, and the 2023 ACC Gifted Educator Award. In 2025, he was appointed Co-Chair of the NIH Study Section for K Awards, reflecting his national leadership in physician-scientist training.
📍 CSE Weekend: https://t.co/Cb5D9qKNKn
@CSEchoCa@amerjohri@HeartDocSharon@CardioUBC@UBC@ubc_cci@UBCMeds
#AI #machinelearning #CSEweekend #CSE #CSEcho2026 #deeplearning #healthtech #echocardiography #echo #cardiologyconferences