Explanipedia

Cardiovascular Computed Tomography Angiographic Assessment of Simple Cardiac Shunts in Adults Open

Dipal Patel, Douglas Corsi, Anmol Kustagi, Aeos Gaea Baldevia, Abhijay Shah , et al. · 2025

Congenital heart disease (CHD) is increasingly detected in cardiac imaging. Effective management of CHD requires thorough imaging of the heart and circulation, extending beyond simple anatomical identification. Cardiovascular computed tomo…

Cardiopulmonary Point-of-Care Ultrasonography for Hospitalist Management of Undifferentiated Dyspnea Open

Kameswari Maganti, Catherine Chen, Ankush D. Jamthikar, Payal Parikh, Naveena Yanamala , et al. · 2025

Importance The association of cardiopulmonary point-of-care ultrasonography (POCUS) with length of stay (LOS) and hospitalization costs for patients admitted to internal medicine wards remains uncertain. Objective To evaluate a collaborati…

Phenotyping valvular heart diseases using the lens of unsupervised machine learning: a scoping review Open

Max Rosen, Karthik Seetharam, Pamela Panahon, Naveena Yanamala, Partho P. Sengupta , et al. · 2025

As the population ages, the incidence and mortality of valvular heart disease (VHD) are rising. Current diagnostic approaches depend on expert heuristics, which may miss complex phenotypes. Unsupervised machine learning (ML) offers a scala…

Artificial intelligence in valvular heart disease: current evidence and future perspectives Open

Pascal Thériault-Lauzier, Gaspard Suc, Partho P. Sengupta, Robert Avram, Charles J. Bruce , et al. · 2025

Valvular heart disease (VHD) is emerging as the next major epidemic in cardiovascular care, driven by the ageing population. The advent of less invasive alternatives to surgery—namely, transcatheter therapies—has revolutionized patient man…

ECG-Derived Synthetic Tissue Doppler Waveforms Differentiate Physiological Adaptations in Healthy Athletes from Pathological Patterns Associated with Mortality in Young Individuals Open

Mehdi Kushkestani, Ankush D. Jamthikar, Sabahat Bokhari, Jason Womack, Naveena Yanamala , et al. · 2025

Background Sudden cardiac death (SCD) in young individuals—especially athletes—remains difficult to diagnose due to overlapping physiological and pathological electrocardiogram (ECG)-related changes. Black-box artificial intelligence (AI) …

Ultrasonic Texture Analysis for Predicting Acute Myocardial Infarction Open

Ankush D. Jamthikar, Quincy A. Hathaway, Kameswari Maganti, Yasmin S. Hamirani, Sabahat Bokhari , et al. · 2025

This study demonstrates the potential of cardiac ultrasomics to distinguish healthy from infarcted myocardium and highlights the need for validation in diverse populations to define its role and incremental value in myocardial tissue chara…

Artificial Intelligence-Enabled Point-of-Care Echocardiography: Bringing Precision Imaging to the Bedside Open

Sasha-ann East, Yanting Wang, Naveena Yanamala, Kameswari Maganti, Partho P. Sengupta · 2025

Purpose of Review The integration of artificial intelligence (AI) with point-of-care ultrasound (POCUS) is transforming cardiovascular diagnostics by enhancing image acquisition, interpretation, and workflow efficiency. These advancements …

Empowering Academia: Integrating Open Access, AI Tools and National Digital Library of India (NDLI) Resources for Smarter Education Open

Nicole Mulaku, S. P. Pareek, Priya Chopra, Partho P. Sengupta, Joy Owango , et al. · 2025

Ventricular Rupture With Pseudoaneurysm Causing Compression Effect on the Right Ventricular Cavity Open

Aliaa Mousa, Alfredo Mendoza, Ashok Chaudhary, Hirohisa Ikegami, Kameswari Maganti , et al. · 2025

Analyzing the Creation and Use of Abbreviations in Cardiology and Cardiac Imaging Society Guidelines Open

Christopher R. Green, Rui Zhang, Raymond F. Stainback, Sofia W Ye, Daniel Forsha , et al. · 2025

Development of denovo hypertrophic cardiomyopathy after 7 years of orthotopic heart transplant Open

Aliaa Mousa, LeRoy Doctor, Deepa Kylasam Iyer, Sabahat Bokhari, Anthony Mendoza , et al. · 2025

Computational approaches to investigate the relationship between periodontitis and cardiovascular diseases for precision medicine Open

Sophia Duenas, Z. A. McGee, Ishani Mhatre, Karthikeyan Mayilvahanan, Kush Ketan Patel , et al. · 2024

Periodontitis is a highly prevalent inflammatory illness that leads to the destruction of tooth supporting tissue structures and has been associated with an increased risk of cardiovascular disease (CVD). Precision medicine, an emerging br…

Cardiac ultrasomics for acute myocardial infarction risk stratification and prediction of all-cause mortality: a feasibility study Open

Quincy A. Hathaway, Ankush D. Jamthikar, Nivedita Rajiv, Bernard Chaitman, Jeffrey L. Carson , et al. · 2024

Background Current risk stratification tools for acute myocardial infarction (AMI) have limitations, particularly in predicting mortality. This study utilizes cardiac ultrasound radiomics (i.e., ultrasomics) to risk stratify AMI patients w…

Challenges for augmenting intelligence in cardiac imaging Open

Partho P. Sengupta, Damini Dey, Rhodri Davies, Nicolás Duchateau, Naveena Yanamala · 2024

Artificial Intelligence (AI), through deep learning, has brought automation and predictive capabilities to cardiac imaging. However, despite considerable investment, tangible health-care cost reductions remain unproven. Although AI holds p…

1 Patient With Single Coronary Artery, Giant Coronary Artery Aneurysm, Contained Rupture, and Fistula Open

Nikita Mishra, Yasmin S. Hamirani, Partho P. Sengupta, Leonard Y. Lee, Sabahat Bokhari · 2024

Single coronary artery, giant coronary artery aneurysm, and coronary cameral fistula are rare congenital anomalies, and can cause a range of presentations. To our knowledge, this is the first reported case of all 3 entities occurring simul…

Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis Open

Márton Tokodi, Rohan Shah, Ankush D. Jamthikar, Neil Craig, Yasmin S. Hamirani , et al. · 2024

Background The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict. Objectives We investigated whether a previously validated echocardiography-based deep learning…

Revolutionizing Cardiology With Words: Unveiling the Impact of Large Language Models in Medical Science Writing Open

Abhijit Bhattaru, Naveena Yanamala, Partho P. Sengupta · 2024

Large language models (LLMs) are a unique form of machine learning that facilitates inputs of unstructured text/numerical information for meaningful interpretation and prediction. Recently, LLMs have become commercialized, allowing the ave…

Health Equity Open

Amber E. Johnson, Jelani Grant, Johanna Contreras, A. Grant, Karen E. Joynt Maddox , et al. · 2024

A novel multi-task machine learning classifier for rare disease patterning using cardiac strain imaging data Open

Nanda K. Siva, Yashbir Singh, Quincy A. Hathaway, Partho P. Sengupta, Naveena Yanamala · 2024

Prediction of Severe Obstructive Coronary Artery Disease Using Radiomic Features from Resting Cardiac Ultrasound Images: A Pilot Study Open

Daniel Aziz, Ankush D. Jamthikar, Abhijit Bhattaru, Karthik Desingu, Nivedita Rajiv , et al. · 2024

Background Although cardiac ultrasound is frequently performed in patients with chest pain, the probability of obstructive coronary artery disease (CAD) cannot be quantified. We investigated the potential of cardiac ultrasound radiomics (u…

Cardiac Ultrasonic Tissue Characterization in Myocardial Infarction Based on Deep Transfer Learning and Radiomics Features Open

Ankush D. Jamthikar, Quincy A. Hathaway, Kameswari Maganti, Yasmin S. Hamirani, Sabahat Bokhari , et al. · 2024

Objective Acute myocardial infarction (MI) alters cardiomyocyte geometry and architecture, leading to changes in the acoustic properties of the myocardium. This study examines ultrasomics — a novel cardiac ultrasound-based radiomics techni…

Ultrasonic Texture Analysis for Acute Myocardial Infarction Risk Stratification: A Pilot Study Open

Quincy A. Hathaway, Ankush D. Jamthikar, Bernard Chaitman, Jeffery Carson, Naveena Yanamala , et al. · 2024

Background Current risk stratification tools for acute myocardial infarction (AMI) have limitations, particularly in predicting mortality. This study utilizes cardiac ultrasound radiomics (i.e., ultrasomics) to risk stratify AMI patients w…

The future of valvular heart disease assessment and therapy Open

Partho P. Sengupta, Jolanda Kluin, Seung‐Pyo Lee, Jae K. Oh, Anthal I.P.M. Smits · 2024

Valvular heart disease (VHD) is becoming more prevalent in an ageing population, leading to challenges in diagnosis and management. This two-part Series offers a comprehensive review of changing concepts in VHD, covering diagnosis, interve…

Dissecting the latent representation of age inside a deep neural network’s predictions of diastolic dysfunction using echocardiographic variables Open

Ankush D. Jamthikar, Rohan Shah, Márton Tokodi, Partho P. Sengupta, Naveena Yanamala · 2024

This study explored the hidden layer activations of previously published Deep Neural Networks (DNNs) that detect age-related diastolic function changes through echocardiographic parameters. The study also aimed to decode the prediction mec…

Acute Device-Related Thrombus Elimination During Transcatheter Edge-to-Edge Repair Via Vacuum Catheter Aspiration Open

Marc Sandhaus, Emily Hiltner, Manabu Takebe, Partho P. Sengupta, Mark J. Russo , et al. · 2024

We describe a rare complication of intraprocedural spontaneous thrombus formation on a transcatheter edge-to-edge repair (MitraClip; Abbott Laboratories) device in a hypercoagulable yet adequately anticoagulated patient. We also outline th…

Analyzing the Mechanism Behind Age-agnostic Prediction of Diastolic Dysfunction Using Echocardiography Variables in Deep Neural Networks Open

Ankush D. Jamthikar, Rohan Shah, Márton Tokodi, Partho P. Sengupta, Naveena Yanamala · 2023

Objective This investigation delved into the inner workings of previously published Deep Neural Networks (DNNs) designed to detect changes in diastolic function related to age using echocardiographic parameters. The primary goal was to dec…

Harnessing Artificial Intelligence for Intravascular Imaging Open

Partho P. Sengupta, Chirag Bavishi · 2023

Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging Open

Damini Dey, Rima Arnaout, Sameer Antani, Aldo Badano, Louis Jacques , et al. · 2023

The (Heart and) Soul of a Human Creation: Designing Echocardiography for the Big Data Age Open

Rima Arnaout, Rebecca T. Hahn, Judy Hung, Pei‐Ni Jone, Steven J. Lester , et al. · 2023

Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review Open

Chayakrit Krittanawong, Alaa Mabrouk Salem Omar, Sukrit Narula, Partho P. Sengupta, Benjamin S. Glicksberg , et al. · 2023

Exponential growth in data storage and computational power is rapidly narrowing the gap between translating findings from advanced clinical informatics into cardiovascular clinical practice. Specifically, cardiovascular imaging has the dis…

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