Partho P Sengupta Profile
Partho P Sengupta

@ppsengupta1

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

New Brunswick, NJ
Joined August 2014
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@ppsengupta1
Partho P Sengupta
1 day
Great presentations and lively discussions by Machteld Boonstra, @ekoikonomou, Paul Leeson—The Large Scale Era continues to usher new excitement and creativity!.
@dhruva_biswas
Dhruva Biswas, MD/PhD
2 days
Time for the next #AI session at #ESCCongress2025 🤖🗣️.'How large language models disrupt cardiovascular clinical care' hosted by .@SandyEngelh @ppsengupta1 at the Digital Health Stage
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Partho P Sengupta
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@ppsengupta1
Partho P Sengupta
3 days
🚀 Why PRIME 2.0 matters.As AI in cardiovascular imaging advances rapidly — from deep learning to LLMs and multimodal generative AI — we saw the need for a domain-specific framework to ensure transparency, reproducibility, and real-world impact. ✨ What’s new in PRIME 2.0?.✅.
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@ppsengupta1
Partho P Sengupta
3 days
📢 PRIME 2.0— 📍The Updated AI Checklist for Cardiac Imaging is officially launched today in parallel with ESC 2025, Madrid 🇪🇸. 📝 Read the pre-proof in JACC: Cardiovascular Imaging: 👨‍⚕️👩‍🔬 Huge thanks to my brilliant co-authors
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@ppsengupta1
Partho P Sengupta
4 days
Looking forward to meeting the esteemed faculty and presenters at #ESC 2025, Madrid. Come join us in-person/ online for lively discussions and debates on the future of AI for cardiac imaging and CV clinical care!
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@ppsengupta1
Partho P Sengupta
12 days
RT @CMEINDIA1: Can echocardiography see what was once invisible? Comments @ppsengupta1 . CME INDIA UPDATE .19.8.2025. 🔎 Ultrasonic Texture….
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@ppsengupta1
Partho P Sengupta
12 days
RT @DavidWienerMD: #echofirst is a robust and continually evolving source of information, here through machine learning ultrasomics. Congra….
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@ppsengupta1
Partho P Sengupta
13 days
So grateful @denisamraru and research community for the interest in this work.
@denisamuraru
Denisa Muraru
13 days
The promise of ultrasomics approaches for facilitating cardiac ultrasound–based myocardial infarct tissue characterization. Brilliant paper by @ppsengupta1 and colleagues in #JACCImaging . #echofirst #cvimaging #EACVI .@ASE360 @escardio
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@ppsengupta1
Partho P Sengupta
13 days
🧠 Accompanying editorial by @bgrenne & Andreas Østvik (NTNU) calls this study a possible inflection point for echo:.“. this body of work may mark the moment when echocardiography first challenged CMR for tissue characterization.” 🔥.
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@ppsengupta1
Partho P Sengupta
13 days
📊 Our study:.– 684 patients across global datasets.– Automated pipeline for handcrafted radiomic features.– ML models outperformed deep learning (AUC: 0.87).– Ultrasomics + strain = boosted prediction power.– Visualized infarct zones via echo (!)
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@ppsengupta1
Partho P Sengupta
13 days
📍What’s new?. Traditionally, only cardiac MRI (CMR) could visualize infarcted myocardium. But CMR is costly and often inaccessible in acute care. Ultrasomics brings high-resolution, ML-driven insight using standard 2D echo. Our initial pipeline shows the parametric maps that
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@ppsengupta1
Partho P Sengupta
13 days
🚨 Can echocardiography see what was once invisible?. Our new study in @JACCJournals Imaging shows how ultrasomics—AI-powered echo texture analysis—detects acute MI at the pixel level. Let's dive in.
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@ppsengupta1
Partho P Sengupta
15 days
RT @MansiShahMD: We are talking about amyloidosis today with cardiology, pathology, neurology and heme-onc colleagues! @RutgersCancer @RWJB….
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@ppsengupta1
Partho P Sengupta
16 days
Saturday August 16th—what a turn out for the Cardiac Amyloidosis Program! Congratulations to The Amyloidosis Center of Excellence—the 2nd largest program in the US— @RWJMSCardiology @RWJUH and faculty and staff for an excellent organization under the leadership of @sabbokhari
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@ppsengupta1
Partho P Sengupta
24 days
RT @lamcardio: Very pleased to share our review on AI echocardiography in cardiovascular disease management is now published!. I hope this….
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