Latest AI and machine learning research in ethics for healthcare professionals.
Analysis of volatile organic compounds (VOCs) can be an effective strategy to inspect the quality of...
BACKGROUND: It has been argued that ethics review committees-e.g., Research Ethics Committees, Insti...
OBJECTIVES: To develop a deep learning (DL) method that can determine the Liver Imaging Reporting an...
BACKGROUND: The complex nature of obesity increasingly requires a comprehensive approach that includ...
The relationship between humans and technology has attracted increasing attention with the advent of...
We present compact and effective deep convolutional neural networks (CNNs) by exploring properties o...
Handcrafted and deep learning (DL) radiomics are popular techniques used to develop computed tomogra...
Cardiovascular diseases account for 17 million deaths per year worldwide. Of these, 25% are categori...
In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model illustra...
Stochastic momentum methods are widely used to solve stochastic optimization problems in machine lea...
PURPOSE: Patient-induced inhomogeneities in the static magnetic field cause distortions and blurring...
Health policies and associated research initiatives are constantly evolving and changing. In recent ...
The measurement of physiologic pressure helps diagnose and prevent associated health complications. ...
PURPOSE: To compare the perioperative outcomes of L-RPLND, R-RPLND and O-RPLND, and determine which ...
OBJECTIVE: Body machine interfaces (BoMIs) enable individuals with paralysis to achieve a greater me...
Much of the current attention on artificial intelligence (AI)-based natural language processing (NLP...
In this paper, a multi-stage deep learning blood pressure prediction model based on imaging photople...
PURPOSE: This work aimed to study postpartum mental outcomes and determinants of the intake of caffe...
OBJECTIVES: To evaluate the performance of a deep learning-based multi-source model for survival pre...
Deep neural networks (DNNs) optimized for visual tasks learn representations that align layer depth ...
The questionnaire method has always been an important research method in psychology. The increasing ...