Latest AI and machine learning research in work force for healthcare professionals.
Proteins and peptides underpin essential biological functions and technological applications, from targeting disease-relevant interactions to providing broad enzymatic activities. However, engineering molecules with desired properties remains difficult, owing to complex sequence-structure-function relationships and the lack of data on specific systems. Experimental selection strategies, including ...
The adoption of artificial intelligence (AI) into clinical practice is accelerating, outpacing the development of organizational guidance, training, and governance. A recent study indicated that two-thirds of hospitalists are using AI, particularly large language model (LLM)-based platforms, in their clinical work. However, as with prior disruptive health technologies, adoption alone does not ensu...
Machine learning has been successfully applied to accelerate Mixed-Integer Linear Programming (MILP) solvers. However, the learning-based solvers ofte...
The absence of publicly available, large-scale, high-quality datasets for Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) has signific...
BACKGROUND: Background Clinical documentation is a major contributor to clinician workload and burnout, with physicians spending more than half of the...
OBJECTIVE: Recent advances in technology and the impact of COVID-19 have expanded the adoption of digital health. Synchronous collaborative telehealth...
BACKGROUND: To overcome key challenges in traditional moxibustion, such as the shortage of skilled practitioners, time-consuming and labour-intensive ...
It is estimated that, globally, the mean point prevalence of diagnosable mental disorders in children and adolescents is higher than 11%, and around h...
BACKGROUND: This study examines the impact of AI-based training approaches on young athletes' motivation and personality traits. The analysis focuses ...
Radiation resistance in bacteria is a critical trait with implications for biotechnology, medicine and environmental science. Deinococcus species poss...
PURPOSE: This study explored large language models (LLMs) as a scalable solution to the global shortage and uneven distribution of ophthalmologists, p...
The shortage of well-trained personnel to deliver cancer care and conduct research remains a major obstacle to reducing disparities in cancer survival...
Atomic-scale metal clusters, which bridge the gap between nanoparticles and single-atom catalysts, show pronounced structure-sensitive reactivity that...
INTRODUCTION: The rise in administrative burden on physicians is becoming increasingly recognised as a significant contributor to burnout and job diss...
PROBLEM: Medical student research engagement is increasingly important in residency selection and professional development, yet structured, longitudin...
Molecular dynamics simulations are essential tools for unraveling atomic-level insights into the structure and behavior of condensed-phase systems. Ho...
BACKGROUND: Respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infections in children, but effective treatment options re...
Rodents are substantial reservoirs of zoonotic viruses with regular human exposure restricted to a limited number of species. Numerous rodent species ...
BACKGROUND AND INTRODUCTION: Workplace bullying and incivility have continued to escalate across health care and pose serious risks to workforce well-...