Latest AI and machine learning research in peripheral artery disease for healthcare professionals.
BACKGROUND: Pneumonia-related hospitalization may be associated with advanced skeletal muscle loss d...
OBJECTIVES: To develop a deep learning (DL) model for segmentation of the suprapatellar capsule (SC)...
BACKGROUND: Identifying factors that correlate with the incidence of venous thromboembolism (VTE) ha...
AIMS: Existing electronic health records (EHRs) often consist of abundant but irregular longitudinal...
Neuroprognostication following acute brain injury (ABI) is a complex process that involves integrati...
Accurate measurement of blood flow velocity is important for the prevention and early diagnosis of a...
To assess the oncological and functional outcomes of patients aged 70 years or older after robot-as...
The present study investigated the role of a urethral support system to maintain urinary continence ...
Recently, artificial intelligence has been widely used in intelligent disease diagnosis and has achi...
Urinary incontinence is one of the main concerns for patients after radical prostatectomy. Differenc...
BACKGROUND: Accurately predicting the risk of atherosclerotic cardiovascular disease (ASCVD) is cruc...
Dataset auditing for machine learning (ML) models is a method to evaluate if a given dataset is used...
The incontinence after RARP significantly decreases the quality of life in prostate cancer patients....
Recent advancements in 3D deep learning have led to significant progress in improving accuracy and r...
BACKGROUND AND OBJECTIVES: Prediction of patient deterioration is essential in medical care, and its...
Sleep is an important indicator of a person's health, and its accurate and cost-effective quantifica...
Data curation is a bottleneck for many informatics pipelines. A specific example of this is aggregat...
Frequent cortical arousal is associated with cardiovascular dysfunction among people with sleep-diso...
Background Statins are guideline-recommended medications that reduce cardiovascular events in patien...
Computational models of emotions can not only improve the effectiveness and efficiency of human-robo...
In this article, we focus on the important role of robot-assisted coronary surgery by reporting the ...