Work Force

Will Artificial Intelligence Replace Me? Automation Susceptibility of Emergency Physician Tasks.

STUDY OBJECTIVE: To apply Autor's labor economics task framework to classify emergency physician tas...

AI-prompted health-service seeking: The potential role of telehealth.

FVeinSyn: Synthetic Finger Vein Image Generator.

A major challenge in finger vein recognition is the lack of large-scale public datasets. Existing da...

A pharmacist-overseen, artificial intelligence-enabled model for provider-side prior authorization: From burden to opportunity (PAVE-1).

Prior authorization (PA) imposes substantial administrative burdens on clinicians, contributing to b...

Artificial Intelligence in Xenotransplantation: A Prioritized Roadmap for Early Clinical Translation, Opportunities and Challenges.

Xenotransplantation represents a potential solution to the persistent global organ shortage, yet its...

The impact of artificial intelligence-based clinical training on burnout among practitioners treating serious mental illness.

Burnout is a pervasive challenge in the mental health field, particularly among practitioners treati...

Retrospective population-based cohorts for assessing the performance of algorithmic diabetes classification and for quantifying the true burden of type 1, type 2 and LADA phenotypes in Quebec: a study protocol.

INTRODUCTION: Diabetes affects 537 million people worldwide, with type 2 diabetes (T2D) estimated to...

Artificial intelligence for healthcare in Nepal: A scoping review of clinical applications, implementation evidence, and health-system governance.

BACKGROUND: Nepal offers a distinctive LMIC setting for evaluating AI-health adoption due to its dif...

Investigation of drilling and necrosis zone performance of split point drills in surgical cortical bone drilling.

The surgical bone drilling process is unavoidable in orthopedic, traumatological and dental applicat...

EndoVLM: A Vision-Language Assistant for Gastrointestinal Endoscopy.

Gastrointestinal endoscopy generates extensive high-resolution video data, posing significant challe...

Reinventing the echocardiography workflow: from manual quantification to artificial intelligence-driven comprehensive interpretation.

Echocardiography remains the cornerstone of cardiovascular imaging. However, traditional workflows i...

The Impact of Digital Transformation on Nursing Professional Experience: Critical Interpretive Synthesis Review Developing the Fragmented Professional Transition in Nursing (FPT-N) Model.

BACKGROUND: Digital transformation through electronic health records (EHRs), telehealth, mobile heal...

An AI-Facilitated Virtual Teaching Assistant for Undergraduate Nursing Honors Research: An Embedded Mixed-Methods Evaluation.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into higher education. However, ...

Automated classification of musculoskeletal abnormalities using a dynamic ensemble of deep vision models.

Detecting and classifying musculoskeletal disorders is vital to preventing long-term disability and ...

Path integral molecular dynamics framework for spin-phonon systems.

We build on the framework for studying systems containing spin-phonon coupling using molecular dynam...

Acceptability of AI-Assisted Psychotherapy to Prospective Patients and Their Intent to Continue Treatment: A Vignette Study.

OBJECTIVE: The authors examined how transparency of artificial intelligence (AI) use (transparent vs...

Learning Thermal Response Forces: A Method for Extending the Thermodynamic Transferability of Coarse-Grained Models via Machine-Learning.

Machine-learned (ML) coarse-grained (CG) models are a promising tool for significantly enhancing the...

Molecular active learning approaches for predicting skin cytotoxicity.

Skin cytotoxicity assessment of small molecules is vital for assessing their risk of cytotoxicity up...

Biomechanics-Embedded Deep Learning for Joint Moment Estimation in Clinical Gait Analysis for Cerebral Palsy: A Learnable Hill-Type Pathway.

Accurate lower-limb joint moment estimation is essential for clinical gait analysis in children with...

Machine Learning Models for Identifying Factors Associated With Workplace Violence Among Emergency Nurses: A Comparative Study.

OBJECTIVE: To develop and compare three machine learning models for identifying factors associated w...

Implications of Artificial Intelligence for Administrative and Management Roles Among Allied Health Occupations.

OBJECTIVE: This study explored how artificial intelligence (AI) technologies support the nondiagnosi...