Latest AI and machine learning research in work force for healthcare professionals.
The study of fungal genetics has undergone transformative advancements in recent decades, profoundly reshaping our understanding of fungal diversity, evolution, and pathogenesis. This review synthesizes cutting-edge molecular techniques revolutionizing fungal diagnostics, with a focus on DNA fingerprinting, next-generation sequencing (NGS), and third-generation sequencing (TGS), alongside their ap...
The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available during training, which limits the performance of deep learning. A common technique to address the data sparsity issue is data augmentation. In this paper, we present a comprehensive study on nine data augmentation...
Poly(lactide-co-glycolide) (PLGA) nanoparticles are promising drug delivery systems, widely recognized for their ability to overcome various limitatio...
Transformers have a remarkable ability to learn and execute tasks based on examples provided within the input itself, without explicit prior training....
Nanofriction experiments typically produce force traces exhibiting atomic stick-slip oscillations, which researchers have traditionally analyzed with ...
The alarming rise in assaults against healthcare professionals is a public health and occupational issue that threatens staff well-being and care qual...
This article reviews advancements in fully automated abdominal CT interpretation over the past decade, with a focus on automated image analysis techni...
Machine learning potentials (MLPs) can enable simulations of ab initio accuracy at orders of magnitude lower computational cost. However, their effect...
This systematic review scrutinizes digital interventions in suicide prevention, telehealth, mobile applications, artificial intelligence (AI), and dig...
BACKGROUND: Artificial intelligence (AI) is revolutionising healthcare globally, including in Nigeria. AI is promising in psychiatry, particularly in ...
BACKGROUND: Peritoneal dialysis (PD) is a widely used form of home dialysis. However, the efficacy of telehealth care in long-term management for PD p...
The goal of this work was to develop an adaptive rehabilitation technique using a haptic wrist robot that would induce cross-education to an untrained...
Trait Genome-to-Phenome (G2P) dimensionality and "breeding context" combine to influence the realised prediction skill of different whole genome predi...
BACKGROUND: Mental health is an essential element of life. However, existing mental health services face challenges in utilization due to issues such ...
Deep-neural-network-based artificial intelligence enables quantitative gait analysis with commodity sensors. However, current gait-analysis models are...
Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful technique for bacterial detection, offering high sensitivity and molecular-level ...
BACKGROUND AND PURPOSE: With the workforce shortage in the United States, neuroadiologists' workloads are increasing with associated increase in burno...
Cardiovascular diseases are a leading cause of mortality, with limited possibilities for transplantation due to a critical shortage of donor hearts. R...
The integration of machine learning into reactive chemistry, materials discovery, and drug design is transforming the development of novel molecules a...
Dolutegravir and bictegravir are second-generation HIV integrase strand transfer inhibitors (INSTIs) that were previously associated with abnormal wei...