Latest AI and machine learning research in primary care for healthcare professionals.
The incidence of nonalcoholic fatty liver disease is a continuously growing health problem worldwide...
Background There is considerable interest in the potential use of artificial intelligence (AI) syste...
Radiologic tests often contain rich imaging data not relevant to the clinical indication. Opportunis...
. The aim of this study is to investigate continuous blood pressure waveform estimation from a pleth...
Deep learning technology has been used in the medical field to produce devices for clinical practice...
BACKGROUND/PURPOSE: Skeletal orthodontic deformities can have functional and aesthetic consequences,...
Nuclear factor (erythroid-derived 2)-like 2 (Nrf2) is an essential regulatory target of antioxidants...
OBJECTIVE: To investigate whether artificial intelligence-based computer-aided diagnosis (AI-CAD) ca...
The single largest contributor to human mortality is cardiovascular disease, the top risk factor for...
This study aimed to evaluate the potential of deep learning applied to the measurement of echocardio...
OBJECTIVE: To develop an interpretable artificial intelligence algorithm to rule out normal large bo...
Artificial intelligence (AI) tools are currently expanding their influence within healthcare. For pa...
Over the past few years, many machine learning-based scoring functions for predicting the binding of...
In the first trimester of pregnancy, accurately predicting the occurrence of pregnancy-induced hyper...
Obesity has become a serious global health problem. For some patients who cannot be treated with tra...
Liquid chromatography-high-resolution mass spectrometry (LC-HRMS) is a powerful analytical tool used...
Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to co...
A hospital readmission risk prediction tool for patients with diabetes based on electronic health re...
Artificial intelligence (AI) and digital innovation are transforming healthcare. Technologies such a...
We used machine learning methods to investigate if body composition indices predict hypertension. Da...
Secondary hypertension is associated with higher risks of target organ damage and cardiovascular and...