Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: Forensic age estimation is frequently requested when chronological age is unknown or contested. While automated bone age systems have been validated in clinical populations, their performance against committee-based forensic reference standards-and their compatibility with the AGFAD-compliant Mindestalter (minimum chronological age) framework-has not been systematically addressed in ca...
This study examined inhibitory control development across two samples of Chinese children: a cross-sectional (n = 1,122; 45.5% female; 91.9% Han; Mage=12.42 years, range: 6.0-18.7 years) with 6-month longitudinal follow-up and independent validation sample (n = 1,026; 45.1% female; 90.8% Han; Mage=12.44 years, range: 6.1-18.8 years). Generalized additive models applied to Stroop and Go/No-Go tasks...
BACKGROUND: The global COVID-19 vaccine rollout faces challenges from persistent hesitancy, especially in rural and underserved regions. Alaska's uniq...
Environmental contamination from unregulated landfills poses significant challenges, requiring accurate subsurface characterization. Non-invasive geop...
PURPOSE: To understand how many days and hours per day of accelerometer wear are needed for a reliable estimation of sedentary time and physical activ...
Psychological, behavioral, and physical factors jointly contribute to heterogeneity in health-related outcomes, yet existing instruments often assess ...
The growing use of artificial intelligence (AI) in infrastructure management has improved data-driven operational decision-making; however, concerns r...
The aim of this study is to compare the accuracy levels of different LLMs on multiple-choice questions (MCQs) related to the field of restorative dent...
Radiomics applied to two-dimensional breast ultrasound has emerged as a potential noninvasive approach for differentiating benign from malignant breas...
Patients increasingly use large language models (LLMs) to interpret radiology reports, yet the reliability of radiologist oversight in detecting error...
BACKGROUND: To achieve a transition toward sustainable development, education is an essential driver of change. Factors like learners' attitudes, cult...
OBJECTIVES: Large language models (LLMs) are increasingly being used in medical research and as clinical decision-support tools. This study aimed to c...
BACKGROUND: Artificial intelligence (AI) is being gradually integrated into clinical nursing practice, where it plays an important role in improving n...
Generative artificial intelligence (AI) has rapidly advanced over the past decade in the field of drug discovery, particularly for the de novo design ...
INTRODUCTION: Ischemic stroke remains a leading cause of death in the United States, with the COVID-19 pandemic exacerbating disparities. Prior studie...
BACKGROUND: Generative artificial intelligence (GenAI) can automate time-intensive tasks and support clinical decision-making in care settings. Nurses...
BACKGROUND: The Pederson difficulty score (PDS) is widely used to assess mandibular third molar extraction difficulty, but is subject to interobserver...
OBJECTIVE: In this study, the aim was to compare three widely used AI-based chatbots, ChatGPT-4.5, DeepSeek, and Claude Sonnet 3.7. This study investi...
Clinical symptoms in serious mental illness (SMI) fluctuate dynamically, yet standard interview-based assessments are limited in tracking these change...
INTRODUCTION: Digitalization, which is rapidly increasing its influence across many fields, has also led to a significant transformation in dentistry,...