Latest AI and machine learning research in work force for healthcare professionals.
BACKGROUND: Two-thirds of people aged 65 years and older may require help with daily activities such...
BACKGROUND: The English National Health Service (NHS) strives for a fair, diverse, and inclusive wor...
Electroencephalography (EEG) is essential for studying infant brain activity but is highly susceptib...
We present an efficient and reliable large-scale non-adiabatic dynamics simulation method based on m...
The human brain is a dynamic system that is constantly learning. It employs a combination of various...
We investigate artificial-intelligence-supported in-line holographic imaging with coherent terahertz...
Engaging in research during medical training is crucial for fostering critical thinking, enhancing c...
Machine Learning models, more specifically Artificial Neural Networks, are transforming medical imag...
This paper presents the implementation of a virtual training program for enumerators conducting Time...
Named Entity Recognition (NER) in the medical domain often presents significant challenges due to th...
BACKGROUND: The global shortage of mental health professionals, exacerbated by increasing mental hea...
: The healthcare sector is under increasing pressure due to an ageing population, rising multimorbid...
Deep learning, particularly convolutional neural networks (CNNs), has proven valuable for brain tumo...
RATIONALE: Walking difficulties are common after a stroke. During rehabilitation, electromechanical ...
Metadata, or "data about data," is essential for organizing, understanding, and managing large-scale...
Chemical synthesis planning has considerably benefited from advances in the field of machine learnin...
There are some key problems faced in modern agriculture that IoT-based smart farming. These problems...
Machine learning interatomic potentials (MLIPs) offer a promising alternative to traditional force f...
Active learning using models built on binding potency predictions from free energy perturbation (AL-...
OBJECTIVE: The aim of this study was to evaluate a narrowly trained convolutional neural network (CN...
The major challenges in drug development stem from frequent structure-activity cliffs and unknown dr...