Clinical applications of artificial intelligence—an updated overview
Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …
Transfer learning for non-image data in clinical research: a sco** review
A Ebbehoj, MØ Thunbo, OE Andersen… - PLOS Digital …, 2022 - journals.plos.org
Background Transfer learning is a form of machine learning where a pre-trained model
trained on a specific task is reused as a starting point and tailored to another task in a …
trained on a specific task is reused as a starting point and tailored to another task in a …
Severe aortic stenosis detection by deep learning applied to echocardiography
Abstract Background and Aims Early diagnosis of aortic stenosis (AS) is critical to prevent
morbidity and mortality but requires skilled examination with Doppler imaging. This study …
morbidity and mortality but requires skilled examination with Doppler imaging. This study …
[HTML][HTML] Artificial intelligence for detection of cardiovascular-related diseases from wearable devices: a systematic review and meta-analysis
Purpose Several artificial intelligence (AI) models for the detection and prediction of
cardiovascular-related diseases, including arrhythmias, diabetes, and sleep apnea, have …
cardiovascular-related diseases, including arrhythmias, diabetes, and sleep apnea, have …
Efficient detection of aortic stenosis using morphological characteristics of cardiomechanical signals and heart rate variability parameters
Recent research has shown promising results for the detection of aortic stenosis (AS) using
cardio-mechanical signals. However, they are limited by two main factors: lacking physical …
cardio-mechanical signals. However, they are limited by two main factors: lacking physical …
A primer on the present state and future prospects for machine learning and artificial intelligence applications in cardiology
The artificial intelligence (AI) revolution is well underway, including in the medical field, and
has dramatically transformed our lives. An understanding of the basics of AI applications …
has dramatically transformed our lives. An understanding of the basics of AI applications …
A new semi-supervised learning benchmark for classifying view and diagnosing aortic stenosis from echocardiograms
Semi-supervised image classification has shown substantial progress in learning from
limited labeled data, but recent advances remain largely untested for clinical applications …
limited labeled data, but recent advances remain largely untested for clinical applications …
Successfully implemented artificial intelligence and machine learning applications in cardiology: state-of-the-art review
The omnipresence and deep impact of artificial intelligence (AI) in today's society are
undeniable. While the technology has already established itself as a powerful tool in several …
undeniable. While the technology has already established itself as a powerful tool in several …
Machine learning to optimize the echocardiographic follow-up of aortic stenosis
Background Disease progression in patients with mild-to-moderate aortic stenosis is
heterogenous and requires periodic echocardiographic examinations to evaluate severity …
heterogenous and requires periodic echocardiographic examinations to evaluate severity …
M2ECG: Wearable mechanocardiograms to electrocardiogram estimation using deep learning
Chest surface vibrations induced by cardiac activities can provide valuable insights into
various heart conditions. Seismocardiogram (SCG) and Gyrocardiogram (GCG) signals …
various heart conditions. Seismocardiogram (SCG) and Gyrocardiogram (GCG) signals …