Latest AI and machine learning research in congestive heart failure for healthcare professionals.
Traditional approach for predicting coronary artery disease (CAD) is based on demographic data, symp...
BACKGROUND AND OBJECTIVE: Left ventricular non-compaction (LVNC) is an uncommon cardiomyopathy chara...
To discuss the application method and effect of COPD patients in deep learning in intelligent monito...
Machine learning has seen slow but steady uptake in diagnostic pathology over the past decade to ass...
The growing number of next-generation sequencing (NGS) data presents a unique opportunity to study t...
This study investigated the effectiveness of pre-treatment quantitative MRI and clinical features al...
Recently, deep learning approaches for MR motion artifact correction have been extensively studied. ...
Thoracic surgery is the main surgical method for the treatment of respiratory diseases and lung dise...
Diffuse gliomas are the most common malignant primary brain tumors. Identification of isocitrate deh...
 In pituitary adenomas (PAs), the use of postoperative steroid supplementation remains controversia...
We present an interpretable machine learning algorithm called 'eARDS' for predicting ARDS in an ICU ...
Assisted reproductive technologies (ART) are increasingly used, however little is known about the lo...
Because cardiac involvement of amyloid A (AA) is not frequent, little is known about the effects of ...
The purpose of this study is to investigate the robustness of a commonly used convolutional neural n...
BACKGROUND AND AIMS: Artificial Intelligence (AI) methods have recently become critical for research...
BACKGROUND: Despite the low spatial resolution of 2D-multisegment late gadolinium enhancement (2D-MS...
This study aims to establish a biological age (BA) predictor and to investigate the roles of lifesty...
Prehypertension is a new risky disease defined in the seventh report issued by the Joint National Co...
A 70-year-old man with severe interstitial pneumonia attributed to limited cutaneous systemic sclero...
OBJECTIVE: Patients with dilated cardiomyopathy (DCM) and severely reduced left ventricular ejection...
Wearable bioelectronics for continuous and reliable pulse wave monitoring against body motion and pe...