Latest AI and machine learning research in work force for healthcare professionals.
ISSUE: Interest in artificial intelligence (AI) has surged recently, with healthcare being no exception. As free, widely accessible AI interfaces grow more user friendly, AI's impact on medical education is likely to be significant. Research into graduate medical education (GME) has explored AI utilization, with strengths noted in diagnostic specialties, but few studies included multiple programs ...
We use machine learning to analyze atomic force microscopy-force spectroscopy (AFM-FS) measurements of the mechanical properties of soft nanoparticles on a hard substrate. We compare two approaches based on the manual selection of features that describe various aspects of the mechanical properties measured using AFM-FS - one that uses an extreme gradient boosting algorithm (supervised learning), a...
BACKGROUND: Telepathology has emerged as a transformative digital health solution to address the global shortage of pathologists and the unequal distr...
Rapid advancements in artificial intelligence (AI) have enabled text-to-speech (TTS) systems to produce voices increasingly indistinguishable from hum...
OBJECTIVES: This scoping review aims to assess the role of machine learning in workplace mental health research by systematically analyzing existing s...
Chronically homeless adults (CHA) face limited healthcare access, frequent substance use, contact with animals that significantly alter their oral mic...
Fungal biotechnology is crucial for generating high-value enzymes and fermentation products. Despite its industrial importance, major knowledge gaps i...
Legged machines are becoming increasingly agile and adaptive, but they have so far lacked the morphological diversity of legged animals, which have be...
BACKGROUND: Surveys show that many people are willing to use generative artificial intelligence (AI) for health questions. Prior research has largely ...
With the intensification of population aging and the increasing incidence of neurological diseases, the demand for precise and intelligent control tec...
Patient-based real-time quality control (PBRTQC) serves as a vital supplement to quality management in clinical laboratories. Its core principle is to...
Pregnancy-triggered shifts in maternal serum elements and gut microbiota may disrupt metabolic balance; yet, their interplay in lipid regulation remai...
BACKGROUND/OBJECTIVES: Patient messaging portals are widely used in clinical practice and are linked to improved patient outcomes, but they are also a...
BACKGROUND: The integration of artificial intelligence (AI) into clinical practice is contingent on public trust. This trust often depends on physicia...
INTRODUCTION: Physician assistant programs must provide effective remediation to support struggling students within the constraints of limited faculty...
This paper examines the intricate relationship between surgical practice, artificial intelligence (AI), and science fiction movies, focusing on how im...
Surface electromyography (sEMG)-based gesture recognition plays a critical role in human-machine interaction (HMI), particularly for rehabilitation an...
Electrolyte design plays an important role in the development of lithium-ion batteries and sodium-ion batteries. Battery electrolytes feature a large ...
Modern radiology requires sustained attention, rapid decision-making, and emotional resilience amid increasing imaging volumes, diagnostic complexity,...
T-cell receptors (TCRs) are generated through somatic recombination of variable (V), diversity (D), and joining (J) gene segments, resulting in an ext...