Work Force

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 applications for screw, plate and implant placement procedures. The mechanical and thermal effects generated during this process have a direct impact on both surgical success and post-operative recovery. The high axial forces, torque, and local temperature increases that occur during drilling can lead to se...

EndoVLM: A Vision-Language Assistant for Gastrointestinal Endoscopy.

Gastrointestinal endoscopy generates extensive high-resolution video data, posing significant challenges for efficient and accurate computer-aided diagnosis of gastrointestinal diseases. To address this, we propose EndoVLM (Endoscopy Vision-Language Model), a specialized visual question-answering assistant for gastroenterology. EndoVLM introduces ConvNeXt as a hierarchical visual encoder to replac...

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

Echocardiography remains the cornerstone of cardiovascular imaging. However, traditional workflows including manual acquisition, sequential measuremen...

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 health, and emerging AI has reshaped nursing work. Bey...

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, evidence on theory-informed AI interventions suppo...

Harnessing Yeast Biodiversity for Advanced Industrial Applications.

Budding yeast Saccharomyces cerevisiae and various non-conventional species are widely applied in the production of diverse industrial products, inclu...

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 limited mobility; however, this procedure is chall...

Path integral molecular dynamics framework for spin-phonon systems.

We build on the framework for studying systems containing spin-phonon coupling using molecular dynamics as the method for sampling the positions of at...

AI and neuroimaging in autism spectrum disorder: advances in diagnosis, methodological challenges and future directions.

BACKGROUND: Autism Spectrum Disorder (ASD) is characterized by challenges in social interaction, communication, and restricted or repetitive behaviors...

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. covert) and modality of therapy (telehealth vs. ...

Long-term microbiome and clinical effects of a microbiome-guided personalized diet versus low-FODMAP diet in irritable bowel syndrome: A 12-month follow-up randomized controlled trial.

Dietary therapy is central to irritable bowel syndrome (IBS) management, yet the long-term durability of the low-FODMAP diet (LFD), and of microbiome-...

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 efficiency of molecular simulations by systematic...

Molecular active learning approaches for predicting skin cytotoxicity.

Skin cytotoxicity assessment of small molecules is vital for assessing their risk of cytotoxicity upon topical contact. However, identifying cytotoxic...

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 cerebral palsy (CP), yet conventional methods req...

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 with workplace violence (WPV) among emergency depar...

Associations between training behaviors and injuries in performance-oriented parkrunners using traditional statistical methods and machine learning.

BACKGROUND: parkrun is the most popular recreational running event in the UK, yet running-related injuries (RRIs) pose a threat to participation. Trai...

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

OBJECTIVE: This study explored how artificial intelligence (AI) technologies support the nondiagnosing/nontreatment roles of allied health workers, ex...

Barriers and Facilitators to AI Implementation in Intensive Care Units in China: Qualitative Study Among Nurse Managers.

BACKGROUND: AI has shown significant potential in intensive care unit (ICU) nursing practice, enhancing efficiency, decision-making, and patient safet...

NeuroSift for Task-Aware Quality Assurance of Multimedia Data in Remote Parkinson Disease Assessment: Machine Learning Model Development and Validation Study.

BACKGROUND: Automated multimedia analysis of remotely recorded tasks offers a scalable approach to screening and remote monitoring of movement disorde...

Protocol for a pilot effectiveness and feasibility randomized controlled trial of an advanced telerehabilitation system for people with multiple sclerosis (PLATINUMS project).

BACKGROUND: Multiple Sclerosis (MS) causes many different symptoms, with some of the most dominant being impaired balance and walking performance. Exe...