Cargando…

Exploring the Potential of Artificial Intelligence in Pediatric Echocardiography—Preliminary Results from the First Pediatric Study Using AI Software Developed for Adults

(1) Background: Transthoracic echocardiography is the first-line non-invasive investigation for assessing pediatric patients’ cardiac anatomy, physiology, and hemodynamics, based on its accessibility and portability, but complete anatomic and hemodynamic assessment is time-consuming. (2) Aim: This s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Vasile, Corina Maria, Bouteiller, Xavier Paul, Avesani, Martina, Velly, Camille, Chan, Camille, Jalal, Zakaria, Thambo, Jean-Benoit, Iriart, Xavier
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10179538/ https://www.ncbi.nlm.nih.gov/pubmed/37176649 http://dx.doi.org/10.3390/jcm12093209

Ejemplares similares

Renaissance of Cardiac Imaging to Assist Percutaneous Interventions in Congenital Heart Diseases:The Role of Three-Dimensional Echocardiography and Multimodality Imaging
por: Avesani, Martina, et al.
Publicado: (2022)

Organization of Pediatric Echocardiography Laboratories: Impact of Sonographers on Clinical, Academic, and Financial Performance
por: Arbic, Nick, et al.
Publicado: (2022)

Embracing AI: The Imperative Tool for Echo Labs to Stay Ahead of the Curve
por: Vasile, Corina Maria, et al.
Publicado: (2023)

A Heart Elsewhere: The Unusual Diagnosis of a Congenital Ventricular Diverticulum in the Abdomen
por: Avesani, Martina, et al.
Publicado: (2021)

Evaluation of left atrial remodelling following percutaneous left atrial appendage closure
por: Jalal, Zakaria, et al.
Publicado: (2017)

Giant coronary artery aneurysm in a patient with LEOPARD syndrome
por: Bourgain, Marion, et al.
Publicado: (2019)

Artificial intelligence in the pediatric echocardiography laboratory: Automation, physiology, and outcomes
por: Nguyen, Minh B., et al.
Publicado: (2022)

Comparison of Two Percutaneous Atrial Septal Defect Occluders for Device Healing and Nickel Release in a Chronic Porcine Model
por: Jalal, Zakaria, et al.
Publicado: (2020)

Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
por: Muralidharan, V., et al.
Publicado: (2023)

Artificial Intelligence (AI)-Empowered Echocardiography Interpretation: A State-of-the-Art Review
por: Akkus, Zeynettin, et al.
Publicado: (2021)

Focal scar and diffuse myocardial fibrosis are independent imaging markers in repaired tetralogy of Fallot
por: Cochet, Hubert, et al.
Publicado: (2019)

Pediatric echocardiography /
por: Silverman, Norman H.
Publicado: (1993)

Artificial intelligence in pediatrics
por: Li, Ya-Wen, et al.
Publicado: (2020)

Transcatheter interventions in patients with a Fontan circulation: Current practice and future developments
por: Jalal, Zakaria, et al.
Publicado: (2022)

The Ross Operation in Young Patients: A 15-Year Experience Focused on Right Ventricle to Pulmonary Artery Conduit Outcomes
por: Dib, Nabil, et al.
Publicado: (2022)

Artificial intelligence and echocardiography
por: Alsharqi, M, et al.
Publicado: (2018)

Artificial Intelligence and Echocardiography
por: Yoon, Yeonyee E., et al.
Publicado: (2021)

Pulmonary Atresia With Ventriculocoronary Arterial Connections and a Large Conoventricular Septal Defect
por: Jakamy, Réda, et al.
Publicado: (2019)

Echocardiography in pediatric heart disease /
por: Snider, A. Rebecca (Arleen Rebecca)
Publicado: (1990)

Echocardiography in Pediatric Pulmonary Hypertension
por: Jone, Pei-Ni, et al.
Publicado: (2014)

UTILITY OF AN AUTOMATED ARTIFICIAL INTELLIGENCE ECHOCARDIOGRAPHY SOFTWARE IN RISK STRATIFICATION OF HOSPITALIZED COVID-19 PATIENTS
por: Wang, Tom Kai Ming, et al.
Publicado: (2021)

Utility of an Automated Artificial Intelligence Echocardiography Software in Risk Stratification of Hospitalized COVID-19 Patients
por: Wang, Tom Kai Ming, et al.
Publicado: (2022)

The Role of Artificial Intelligence in Echocardiography
por: Barry, Timothy, et al.
Publicado: (2023)

Artificial intelligence in pediatric behavioral health
por: van Schalkwyk, Gerrit
Publicado: (2023)

AI meets BI: artificial intelligence and business intelligence
por: Bulusu, Lakshman, et al.
Publicado: (2020)

Impact of COVID-19 disease on clinical research in pediatric and congenital cardiology
por: Pommier, V., et al.
Publicado: (2022)

AI (Artificial Intelligence) and Hypertension Research
por: Mueller, Franco B.
Publicado: (2020)

Expectations for Artificial Intelligence (AI) in Psychiatry
por: Monteith, Scott, et al.
Publicado: (2022)

Pediatric Transesophageal Echocardiography Probe Holder
por: Kashyap, Chandresh, et al.
Publicado: (2018)

Steps to use artificial intelligence in echocardiography
por: Kusunose, Kenya
Publicado: (2020)

Routine Echocardiography and Artificial Intelligence Solutions
por: Schuuring, Mark J., et al.
Publicado: (2021)

Future of Pediatric Practice — Artificial Intelligence Beckoning?
por: Kumar R, Remesh
Publicado: (2022)

An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics
por: Aylward, Brandon S., et al.
Publicado: (2023)

Artificial intelligence applications in pediatric oncology diagnosis
por: Yang, Yuhan, et al.
Publicado: (2023)

The AI business: the commercial uses of artificial intelligence
por: Prendergast, Karen A, et al.
Publicado: (1984)

Beyond AI: Interdisciplinary Aspects of Artificial Intelligence
por: Kelemen, Jozef, et al.
Publicado: (2013)

AI-RADS: An Artificial Intelligence Curriculum for Residents
por: Lindqwister, Alexander L., et al.
Publicado: (2020)

What is AI? Applications of artificial intelligence to dermatology
por: Du‐Harpur, X., et al.
Publicado: (2020)

Perception of Artificial Intelligence (AI) among radiologists
por: Pakdemirli, Emre
Publicado: (2019)

AlphaFold, Artificial Intelligence (AI), and Allostery
por: Nussinov, Ruth, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_msa5tdctqk7ori5e6nrafdte8o