Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
There is clear evidence to suggest that diabetes does not affect all populations equally. Among adul...
In this work, we aim to address the problem of human interaction recognition in videos by exploring ...
BACKGROUND: Long non-coding RNAs (lncRNAs) regulate diverse biological processes via interactions wi...
Even though convolutional neural networks (CNNs) are driving progress in medical image segmentation,...
Persons who inject drugs (PWID) are at increased risk for overdose death (ODD), infections with HIV,...
Prism adaptation is a method for studying visuomotor plasticity in healthy individuals, as well as f...
We developed a machine learning model for efficient analysis of echocardiographic image quality in h...
Temporal correlation in dynamic magnetic resonance imaging (MRI), such as cardiac MRI, is informativ...
INTRODUCTION: Studies addressing the development and/or validation of diagnostic and prognostic pred...
The rapidly growing use of artificial intelligence in pathology presents a challenge in terms of stu...
Artificial intelligence (AI) is a technology that utilizes machines to mimic intelligent human behav...
BACKGROUND: The broad adoption of electronic health records (EHRs) provides great opportunities to c...
OBJECTIVE: To determine how machine learning has been applied to prediction applications in populati...
BACKGROUND: Multiparametric (mp) magnetic resonance imaging (MRI)-ultrasound fusion-targeted biopsy ...
Use of machine learning (ML) in clinical research is growing steadily given the increasing availabil...
PURPOSE: The Vesical Imaging Reporting and Data System (VI-RADS) was launched in 2018 to standardize...
In recent years, there has been a dramatic increase in research papers about machine learning (ML) a...
Health data that are publicly available are valuable resources for digital health research. Several ...
IMPORTANCE: Adherence to the Consolidated Standards of Reporting Trials (CONSORT) for randomized cli...
BACKGROUND: Current copy number variation (CNV) identification methods have rapidly become mature. H...
BACKGROUND: A microscopic analysis of tissue is the gold standard for cancer detection. Hematoxylin-...