Latest AI and machine learning research in work force for healthcare professionals.
MOTIVATION: Machine Learning Force Fields (MLFFs) have emerged as promising tools for accelerating molecular dynamics simulations. However, existing approaches often struggle to capture the geometric characteristics of long-range interactions, including distance and direction, remain sensitive to conformational variations, and lack adaptive mechanisms for balancing short- and long-range forces. To...
BACKGROUND: Infectious Diseases require rapid decisions based on heterogeneous and evolving clinical data. At the same time, the shortage of infectious diseases specialists continues to widen the gap between demand for expertise and its availability. Artificial intelligence (AI) has emerged as a potential support tool, although its role in routine care remains uncertain. OBJECTIVES: To review curr...
Selecting an appropriate mask is crucial for the success of continuous positive airway pressure (CPAP). Using a patient-centered approach, the purpose...
BACKGROUND: AI tools have the potential to enhance personalized clinical care, particularly in radiology. However, their integration into clinical wor...
Biologists have relied on morphological characteristics to identify, define, and formally describe species for the past 250 years. The advent of phylo...
This article presents the development of a wearable exoskeleton robotic device designed for the motor recovery of the upper limbs following stroke, in...
A modified Spider Shaped Four Element Multi Input Multi Output Antenna (SSFEMIMOA) is suggested for the 5G-advanced, and sub-6 GHz advanced wireless c...
Innovations in Eustachian tube dysfunction (ETD) management are shifting care from symptom-based approaches toward precision, technology-integrated st...
BackgroundErgonomics is important for improving nurses' working conditions and preventing work-related health problems. Research on ergonomics in nurs...
Artificial intelligence (AI) is increasingly permeating healthcare, from serving as a physician assistant to powering consumer applications. The opaci...
BACKGROUND: Best practices in diagnosing autism spectrum disorder require an expert diagnostician to integrate multiple sources of information, includ...
OBJECTIVES: To perform a scoping review of ethics-based literature published in the last 5 years in otolaryngology-head and neck surgery (OHNS), and t...
BACKGROUND: AI adoption in health care has accelerated rapidly, with ambient documentation tools, diagnostic imaging AI, and clinical decision support...
The rapid integration of Artificial Intelligence (AI) in higher education has changed teaching and assessment practices and has introduced new risks f...
Regional, rural and remote Australians experience poorer health outcomes and substantially higher rates of suicide and self-harm than those in major c...
Single nucleotide polymorphisms represent the most abundant form of genetic variation in plant genomes and have become fundamental markers in modern p...
The advent of novel disease-modifying therapeutics for spinal muscular atrophy (SMA) increased life expectancy with better motor function and potentia...
The prediction of tablet dissolution from in-process data remains a key challenge in pharmaceutical manufacturing, as in vitro dissolution is a critic...
BACKGROUND: Developing professional expertise warrants deliberate practice, where skills are developed and refined through repeated engagement with ta...
BACKGROUND: Rapid population aging and a worsening shortage of care workers necessitate the identification of older adults who require proactive inter...