Work Force

Disability portrayals in artificial intelligence text-to-image generation: Influence of context and the medicalization of disability.

PURPOSE/OBJECTIVE: Text-to-image (TTI) systems are artificial intelligence (AI) models that incorporate large amounts of data to produce high-resolution images. Although research has documented racial/ethnic and gender bias in TTI, little has examined disability bias. This study compared generated images of disabled people with no prompted setting to images of disabled individuals in health care s...

Evaluation of Nurses' Perceptions and Readiness for Artificial Intelligence Integration in Healthcare: A Cross-Sectional Study in Turkey.

AIM: To determine the perceptions and readiness of nurses regarding the integration of artificial intelligence (AI) into healthcare services. DESIGN: A descriptive cross-sectional study. METHODS: Data were collected from 388 nurses across Turkey using an online questionnaire designed to gather sociodemographic information, perceptions (measured by attitudes) and readiness (assessed by AI knowledge...

Liquid biopsy based on multi-targeted capture of urinary tumor DNA combined with machine learning to detect urothelial carcinoma: a multicenter prospective study.

PURPOSE: Diagnostics for urothelial carcinoma have low sensitivity, thereby negatively impacting diagnostic outcomes. Herein, we present BiovueUro, a ...

Future trends and challenges in occupational therapy: Insights from a Delphi study.

INTRODUCTION: Occupational therapy is evolving rapidly due to technological advances and demographic and sociocultural changes. Recognizing emerging t...

Tissue-Engineered Endothelial Keratoplasty with Controlled Cell Density: Toward Super TEEKs.

Over the past 20 years, endothelial keratoplasty procedures have revolutionized the treatment of corneal endothelial disorders. These conditions have ...

Generating Brain MRI with StyleGAN2-ADA: The Effect of the Training Set Size on the Quality of Synthetic Images.

The potential of deep learning for medical imaging is often constrained by limited data availability. Generative models can unlock this potential by g...

AI-powered insights in pediatric nephrology: current applications and future opportunities.

Artificial intelligence (AI) is rapidly emerging as a transformative force in pediatric nephrology, enabling improvements in diagnostic accuracy, ther...

Utilization of an Artificial Intelligence-Based Documentation System Improves Provider Efficiency in Outpatient Orthopaedic Clinics: Reducing the Afterhours Burden of the Electronic Health Record-A Pilot Study.

INTRODUCTION: Despite recent technological advancements, documentation within the electronic health record (EHR) remains a time-consuming task within ...

Recent biotechnological advances in bioprospecting secondary metabolites from endolichenic fungi for drug discovery applications.

Endolichenic fungi (ELF) are symbiotic organisms residing in lichens. Since the initial report of its application in natural products and drug discove...

Student Perceptions of a Custom Artificial Intelligence Clinical Case Companion.

INTRODUCTION: Artificial intelligence tools show promise in supplementing traditional physician assistant education, particularly in developing clinic...

Edge-Centric Brain Connectome Representations Reveal Increased Brain Functional Diversity of Reward Circuit in Patients With Major Depressive Disorder.

BACKGROUND: Major depressive disorder (MDD) has been increasingly understood as a disorder of network-level functional dysconnectivity. However, previ...

Tailoring knowledge for empowered cooperative actions in multi-agent reinforcement learning.

Behavioral diversity emerges as a crucial factor for achieving effective collaboration in Multi-Agent Reinforcement Learning (MARL). Current methods o...

Targeting mechanisms of change as a path to precision psychotherapy for community settings.

There have been exciting advancements in mechanisms of change research, but most innovations are rarely applied in community settings. Growing depress...

Development and validation of a natural language processing system to assess quality of physician communication in prostate cancer consultations.

BACKGROUND: AUA guidelines for shared decision making (SDM) in prostate cancer recommend discussion of five content areas in consultations: (1) cancer...

Machine Learning-Aided Meta-Analysis Reveals Changes in Penaeus vannamei Gut Bacterial Communities Upon Dietary Supplementation-Induced Immunostimulation.

Gut bacterial communities play a key role in shrimp health; thus, their modulation has been a target of dietary supplements which also function in enh...

Automation and Workflow Efficiency in Clinical Settings: Implementing Automation to Reduce Administrative Burdens.

Administrative tasks remain a leading contributor to physician burnout in primary care and hospital settings. Recent advancements in informatics infra...

Portrayal of Cancer Patients in the Era of AI: A Content Analysis of Images Produced by Generative AI Tools.

This study sought to characterize images of cancer patients generated by Artificial Intelligence (AI) text-to-image tools, and assess whether images d...

Global genomics of Lactococcus lactis: horizontal gene transfer and intergenic variation drive multiple domestication and dairy adaptation.

INTRODUCTION: Lactococcus lactis is a crucial lactic acid bacterium of great economically significance for cheese product. The species exhibits wildly...

From notes to networks - A three-dimensional framework with integrated curation for using Google NotebookLM in health professions education.

Health professions educators face increasing demands to create evidence-based and student-centered content under time constraints, siloed environments...

Predicting the First Onset of Suicidal Thoughts and Behaviors in Adolescents Using Multimodal Risk Factors: A 4-Year Longitudinal Study.

OBJECTIVE: Suicide is one of the leading causes of death among youth worldwide, yet existing studies that aimed to predict the first onset of suicidal...