Latest AI and machine learning research in work force for healthcare professionals.
Telehealth has become a cornerstone of modern pediatric care, offering continuity, access and efficiency across a wide range of clinical settings. Initially a supplementary model, its rapid expansion during the COVID-19 pandemic accelerated innovation in virtual care delivery. Post-pandemic, pediatric telehealth remains a vital tool for improving access to behavioral health, chronic disease manage...
Workplace violence and sleep disorders are common among emergency department (ED) nurses, yet heterogeneity in violence exposure and its relationship with sleep disorders remains poorly understood. This nationwide cross-sectional study included 1540 Chinese ED nurses. Latent profile analysis identified violence exposure patterns, while LASSO, 7 machine learning algorithms, and SHAP were used for s...
PURPOSE OF REVIEW: Medical devices like physiologic monitors, anesthesia machines, and ventilators, are designed by biomedical engineers but used by c...
BACKGROUND AND PURPOSE: Delineating the clinical target volume (CTV) is an essential part of a radiation oncologist's practice. However, this process ...
PURPOSE: Ex vivo platforms can rapidly and cost-effectively screen patient-derived tumor cells or tissue. Artificial intelligence (AI) algorithms can ...
We developed and deploy a real‑time, electronic health record‑integrated machine learning phenotype to identify emergency department patients with opi...
Many insects manipulate plants by injecting effector proteins. In one extreme example of this molecular "hijacking," Hormaphis cornu aphids inject bic...
Wound care has significant associated challenges in clinical practice, particularly for chronic wounds such as venous leg ulceration, pressure ulcerat...
BACKGROUND: Augmented reality (AR) has emerged as a promising tool to enhance surgical precision during robot-assisted partial nephrectomy (RAPN), par...
STUDY OBJECTIVE: To apply Autor's labor economics task framework to classify emergency physician tasks by automation susceptibility and map current ar...
The discrimination of structurally similar biothiols remains a critical challenge in clinical diagnostics, as conventional nanozyme-based sensor array...
Accurate breast tumor segmentation in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is vital for diagnosis and treatment planning. De...
A major challenge in finger vein recognition is the lack of large-scale public datasets. Existing datasets contain few identities and limited samples ...
Prior authorization (PA) imposes substantial administrative burdens on clinicians, contributing to burnout, delayed care, and excess health care spend...
Xenotransplantation represents a potential solution to the persistent global organ shortage, yet its clinical application remains stalled by complex i...
Burnout is a pervasive challenge in the mental health field, particularly among practitioners treating serious mental illness. Although skills-based t...
INTRODUCTION: Diabetes affects 537 million people worldwide, with type 2 diabetes (T2D) estimated to account for most cases. Type 1 diabetes (T1D), la...
BACKGROUND: Nepal offers a distinctive LMIC setting for evaluating AI-health adoption due to its difficult geography, specialist shortage, high case b...