AIMC Topic: Heart Function Tests
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Deep learning and ultrasound feature fusion model predicts the malignancy of complex cystic and solid breast nodules with color Doppler images.
Scientific reports
Jun 28, 2023
This study aimed to evaluate the performance of traditional-deep learning combination model based on Doppler ultrasound for diagnosing malignant complex cystic and solid breast nodules. A conventional statistical prediction model based on the ultraso...
Blinded, randomized trial of sonographer versus AI cardiac function assessment.
Nature
Apr 5, 2023
Artificial intelligence (AI) has been developed for echocardiography, although it has not yet been tested with blinding and randomization. Here we designed a blinded, randomized non-inferiority clinical trial (ClinicalTrials.gov ID: NCT05140642; no o...
Artificial intelligence for a personalized diagnosis and treatment of atrial fibrillation.
American journal of physiology. Heart and circulatory physiology
Jan 29, 2021
Although atrial fibrillation (AF) is the most common cardiac arrhythmia, its early identification, diagnosis, and treatment is still challenging. Due to its heterogeneous mechanisms and risk factors, targeting an individualized treatment of AF demand...
Humans
Neural Networks, Computer
Artificial Intelligence
Atrial Fibrillation
Heart Rate
Pattern Recognition, Automated
Therapy, Computer-Assisted
Heart Function Tests
Action Potentials
Predictive Value of Tests
Heart Conduction System
Machine Learning
Clinical Decision-Making
Diagnosis, Computer-Assisted
Physiological indices of challenge and threat: A data-driven investigation of autonomic nervous system reactivity during an active coping stressor task.
Psychophysiology
Aug 13, 2019
We utilized a data-driven, unsupervised machine learning approach to examine patterns of peripheral physiological responses during a motivated performance context across two large, independent data sets, each with multiple peripheral physiological me...
A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning.
IEEE journal of biomedical and health informatics
Jul 29, 2019
The ballistocardiography (BCG) signal is a measurement of the vibrations of the center of mass of the body due to the cardiac cycle and can be used for noninvasive hemodynamic monitoring. The seismocardiography (SCG) signals measure the local vibrati...
Contribution of Cardiovascular Reserve to Prognostic Categories of Heart Failure With Preserved Ejection Fraction: A Classification Based on Machine Learning.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Feb 1, 2019
BACKGROUND: The authors used cluster analysis of data from cardiovascular domains associated with exercise intolerance to help define prognostic phenotypes of patients with heart failure with preserved ejection fraction (HFpEF).
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning.
IEEE transactions on medical imaging
May 26, 2017
Cardiac indices estimation is of great importance during identification and diagnosis of cardiac disease in clinical routine. However, estimation of multitype cardiac indices with consistently reliable and high accuracy is still a great challenge due...
Soft robotic sleeve supports heart function.
Science translational medicine
Jan 18, 2017
There is much interest in form-fitting, low-modulus, implantable devices or soft robots that can mimic or assist in complex biological functions such as the contraction of heart muscle. We present a soft robotic sleeve that is implanted around the he...
Cardiac Function in Newborns with Congenital Hypothyroidism: Association with Thyroid-Stimulating Hormone Levels.
Journal of clinical research in pediatric endocrinology
Dec 1, 2015
OBJECTIVE: The aims of this study were to demonstrate ventricular function changes in patients with congenital hypothyroidism and to investigate whether there is an association between any such changes and thyroid-stimulating hormone (TSH) levels usi...
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