Latest AI and machine learning research in stds for healthcare professionals.
BACKGROUND: A new direct microplate-based colorimetric drug susceptibility test that omits the initi...
Acute retroviral syndrome (ARS) can present as a wide array of clinical manifestations. Establishing...
Lyme disease can lead to neurological, cardiac, and rheumatologic complications when untreated. Time...
Two chemometrics methods-principal component regression and partial least squares-were developed for...
Software testing of knowledge-based clinical decision support systems is challenging, labor intensiv...
With the advance of next-generation sequencing (NGS) technologies, non-invasive prenatal testing (NI...
OBJECTIVE: Until recently, management of repeat breeding in cattle remains a major problem to dairy ...
OBJECTIVES/HYPOTHESIS: "Hot potato voice" (HPV) is a thick, muffled voice caused by pharyngeal or la...
BACKGROUND AND PURPOSE: Pulmonary function testing is a standard part of care for patients admitted ...
OBJECTIVE: The aim of this paper is to investigate the use of fully convolutional neural networks (F...
The use of robotic systems combined with force sensing is emerging as the gold standard for in vitro...
Antibiotic resistance has been one of the biggest threats to global health. Despite the available pr...
INTRODUCTION: When children with physical impairments cannot perform hand movements for haptic explo...
Ankle sprains are the most common sports injury. Gaining a better understanding of ankle mechanics w...
AIM: A controlled bench test was undertaken to determine the performance variability among a range o...
The Purpose of the study was to develop a deep residual learning algorithm to screen for glaucoma fr...
Several computer aided diagnosis (CAD) systems have been developed for mammography. They are widely ...
Skin diseases have a serious impact on people's life and health. Current research proposes an effici...
Robotic square wave voltammetry (SVW) in 24-well microtiter plates has been developed as a reliable ...
Machine computer interfaces (MCI) are assistive technologies enabling paralyzed peoples to control a...
IMPORTANCE: Diagnosis codes are inadequate for accurately identifying herpes zoster (HZ) ophthalmicu...