Latest AI and machine learning research in stds for healthcare professionals.
The use of multiple testing procedures in the context of gene-set testing is an important but relati...
In continuous attractor neural networks (CANNs), spatially continuous information such as orientatio...
BACKGROUND: Syphilis is an infection frequently seen with HIV, and European guidelines on the manage...
OBJECTIVES: To develop a Web-based tool to draw attention to patients positive for human papillomavi...
The non-stationary property of electromyography (EMG) signals in real life settings usually hinders ...
The mechanical loading environment encountered by articular cartilage in situ makes frictional-shear...
To carry out a pulse diagnosis, a traditional Chinese medicine (TCM) physician presses the patient's...
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...
Novel granulated pellets technique was adopted to prepare granulated pellet-containing tablets (GPCT...
Background: Albuminuria is central to staging and risk prediction in chronic kidney disease (CKD), y...
Background: More than 90% of rare diseases lack an approved therapy, partly reflecting economic barr...
Purpose: Digital-twin frameworks can potentially offer a pathway toward individualized treatment but...
Different from natural videos, Screen Content Videos (SCVs) are characterized by abrupt motion, scen...
Robustness evaluation must examine diverse visual perturbations, while benchmarks cover only some re...
Objective: To develop and evaluate machine learning methods for automated identification of family r...
A significant portion of disease-causing mutations occur at protein-protein interfaces however, the ...
Objectives: Cervical cancer is Cameroon's second most common cancer among women. However, high paren...
The SYNTAX score is a clinically established tool for assessing anatomical lesion complexity in coro...
Ensuring the reliability of deep learning-based image retrieval systems is a software engineering ch...
In serious illness, human surrogates often struggle to accurately predict patient preferences (68% a...
As AI systems are increasingly deployed in safety-critical application domains (e.g., autonomous dri...