Latest AI and machine learning research in hiv/aids for healthcare professionals.
OBJECTIVE: Otitis media (OM) is a model disease for developing, validating, and implementing artific...
Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X...
BACKGROUND: Soft, wearable, powered exoskeletons are novel devices that may assist rehabilitation, a...
OBJECTIVE: To provide a comprehensive overview on the applications of artificial intelligence (AI) i...
The meaningful use of electronic health records (EHR) continues to progress in the digital era with ...
Although medical research has been performed predominantly on men both in preclinical and clinical s...
Patient-reported outcome measures (PROMs) assign objective measures to patient's subjective experien...
Fault diagnosis of rotating machines is an important task to prevent machinery downtime, and provide...
PURPOSE: To provide a holistic and complete comparison of the five most advanced AI models in the au...
Effective livestock management is critical for cattle farms in today's competitive era of smart mode...
In this study, two chemometrics methods, including partial least squares regression (PLS) and least ...
Energetic materials (EMs) are the core materials of weapons and equipment. Achieving precise molecul...
New drug discovery is inseparable from the discovery of drug targets, and the vast majority of the k...
BACKGROUND AND AIMS: A microscopic image has been used in cell analysis for cell type identification...
Efficacy and safety are among the most desirable characteristics of an ideal drug. The tremendous in...
The study of drug-target protein interaction is a key step in drug research. In recent years, machin...
The goals of Mars exploration are evolving beyond describing environmental habitability at global an...
The development of ultra-dense heterogeneous networks (HetNets) will cause a significant rise in ene...
Image reconstruction processing in computed tomography (CT) has evolved tremendously since its creat...
Quantized neural networks (QNNs) are among the main approaches for deploying deep neural networks on...
The goal of this study was to assess the feasibility of three models for detecting hydronephrosis th...