Partho P Sengupta

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Partho P Sengupta

Partho P Sengupta

@ppsengupta1

Henry Rutgers Professor of Cardiology, Chief of Cardiovascular Medicine and Service Line, Robert Wood Johnson Medical School & University Hospital

New Brunswick, NJ Katılım Ağustos 2014
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Partho P Sengupta retweetledi
Anu Lala (Anuradha Lala-Trindade)
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!
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Dilawri Cardiovascular Institute (DCI)
🇦🇮 💬 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: dci.ca/cse-weekend/ @CSEchoCa @amerjohri @HeartDocSharon @CardioUBC @UBC @ubc_cci @UBCMeds #AI #machinelearning #CSEweekend #CSE #CSEcho2026 #deeplearning #healthtech #echocardiography #echo #cardiologyconferences
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Chittur Sivaram MD MACP MACC
Chittur Sivaram MD MACP MACC@CASivaram1·
#OKACC2026 ✅ Memories of 2026 OK ACC Chapter meeting ✅ Top notch education, delightful networking & camaraderie ✅ Now onward to a great year w/ our new Governor @ZainAsadCardOnc @acc_oklahoma @ACCinTouch @ppsengupta1 @AnaBaracCardio @Bweber04 @gina_lundberg @ParasuramMD @HeartDocSadiya @iamritu @HeartOTXHeartMD @KhandelwalMD @DrJMarine @AHajduczok @OU_internalmed @OUCardsFellows @sudarshanballa
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Evangelos K. Oikonomou
Evangelos K. Oikonomou@ekoikonomou·
Congratulations to @KagiyamaNobu, @tokmarton, @QuincyHathaway, and @ppsengupta1 for leading this outstanding effort. Honored to contribute to this team’s work on defining best practices for AI in cardiovascular imaging. @YaleCardiology
JACC Journals@JACCJournals

Check out the latest #JACCIMG state-of-the-art review on proposed requirements for #cvImaging multimodal-#ArtificialIntelligence evaluation. jacc.org/doi/10.1016/j.… #MachineLearning #BigData

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