Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Atomate2: modular workflows for materials science.

High-throughput density functional theory (DFT) calculations have become a vital element of computat...

Burnout protective patterns among oncology nurses: a cross-sectional study using machine learning analysis.

BACKGROUND: Oncology nurses face unique and intense demands due to the nature of their work, caring ...

Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review.

BACKGROUND: Clinical documentation is vital for effective communication, legal accountability and th...

Neural networks with personalized training for improved MOLLI T mapping.

BACKGROUND: The aim of this study was to develop a method for personalized training of Deep Neural N...

Different artificial neural networks for predicting burnout risk in Italian anesthesiologists.

BACKGROUND: Burnout (BO) is a serious issue affecting professionals across various sectors, leading ...

Investigating psychotherapists' attitudes towards artificial intelligence in psychotherapy.

BACKGROUND: The increasing prevalence of mental health disorders, compounded by a global shortage of...

Student perceptions of GenAI as a virtual tutor to support collaborative research training for health professionals.

BACKGROUND: Research and evaluation skills are essential in healthcare education. Instructors freque...

Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis.

Periodontitis, a chronic inflammatory condition of the periodontium, is associated with over 60 syst...

In-silico 3D molecular editing through physics-informed and preference-aligned generative foundation models.

Generating molecular structures towards desired properties is a critical task in computer-aided drug...

Deep learning quantifies pathologists' visual patterns for whole slide image diagnosis.

Based on the expertise of pathologists, the pixelwise manual annotation has provided substantial sup...

Enhanced security for IoT cloud environments using EfficientNet and enhanced football team training algorithm.

The growing implementation of Internet of Things (IoT) technology has resulted in a significant incr...

Use of a sperm morphology assessment standardisation training tool improves the accuracy of novice sperm morphologists.

Sperm morphology assessment is recognised as a critical, yet variable, test of male fertility. This ...

Investigating the diversity and stylization of contemporary user generated visual arts in the complexity entropy plane.

The advent of computational and numerical methods in recent times has provided new avenues for analy...

Zero shot molecular generation via similarity kernels.

Generative modelling aims to accelerate the discovery of novel chemicals by directly proposing struc...

A dataset of microscopic spirometra mansoni for medical image segmentation.

Accurate diagnosis of adult Spirometra mansoni infections remains challenging, due to the limited se...

European Respiratory Society Clinical Practice Guideline on Telemedicine in Home Mechanical Ventilation.

BACKGROUND: With the increasing prevalence of patients on home mechanical ventilation (HMV), changin...

NeuroLens: organ localization using natural language commands for anatomical recognition in surgical training.

PURPOSE: This study introduces NeuroLens, a multimodal system designed to enhance anatomical recogni...

Emerging technologies in airway management: a narrative review of intubation robotics and anatomical structure recognition algorithms.

In recent years, the medical field has seen significant advancements in the field of robotics and ar...

An artificial intelligence enhanced coaching mode.

Surgical coaching has emerged as an innovative educational strategy designed to enhance both the tec...

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