Surveys

Agreement between three state-of-the-art deep learning bone age estimation models and chronological age in a large contemporary pediatric cohort.

BACKGROUND: Radiographic bone age estimation is routinely performed in children to evaluate short stature, early or late puberty, and endocrine disorders, as well as for surgical planning. OBJECTIVE: To evaluate agreement between three state-of-the-art deep learning bone age estimation models and chronological age in a large contemporary pediatric cohort. MATERIALS AND METHODS: We retrospectively ...

Quality assessment of radiographs through AI-driven feedback: A randomized comparative study on radiographer response in lateral knee radiographs.

INTRODUCTION: High-quality radiographic positioning is essential for accurate diagnosis in knee imaging. Although artificial intelligence (AI) can assess image quality with high accuracy, its influence on radiographers' clinical decision-making remains unclear. This study examined whether AI feedback affects radiographers' acceptance or rejection of lateral knee radiographs. METHODS: Eighty-nine p...

Evaluating the VOCORDER device for early disease detection through breath analysis: study protocol for a two-phase clinical study.

INTRODUCTION: The survival rate of patients with life-threatening diseases primarily depends on the speed of diagnosis. Too often, diseases are detect...

Quantifying agricultural resilience under climate variability: a data-driven climate resilience index for European cereal systems.

Climate variability and extreme weather events pose an increasingly serious threat to agricultural productivity in Europe. Although many studies have ...

Advanced digital skills demands and priorities in wind energy sector.

In a context of increasing digitalisation within the wind energy sector, the industry is facing a growing need for professionals with advanced digital...

Reliability assessment of key equipment for coal gasification using artificial intelligence technology.

To address the gap in quantitatively modeling dynamic failure mechanisms for Gasifier lock bucket valve system reliability, this study proposes an inn...

Leveraging large language models in patient-reported outcome measure development: practical opportunities, cautions, and a human-in-the-loop roadmap.

BACKGROUND: Patient-reported outcome (PRO) measure development involves multiple language-intensive stages, including conceptual domain definition, ca...

Perceptions, challenges, and innovations in educational rehabilitation for students with intellectual disabilities in Saudi Arabia.

This study evaluated stakeholder perceptions, implementation barriers, and innovation readiness in educational rehabilitation programs for students wi...

Mapping Practice-Based Signals of Generative AI in Psychiatric Care: Qualitative Study of Korean Psychiatrists' Experiences, Interpretations, and Implementation Priorities.

BACKGROUND: Generative artificial intelligence (GenAI) has increasingly entered psychiatric practice through patient-facing chatbots, self-help tools,...

Predicting problem gambling among online sports and race bettors: Assessing the value of machine learning using behavioural and self-reported data.

BACKGROUND AND AIMS: Online gambling operators collect detailed behavioural data that can identify customers at risk of harmful gambling. However, the...

Radiologist Perceptions of an AI Tool for Intracranial Hemorrhage Detection in Teleradiology: Cross-Sectional Survey Study.

BACKGROUND: Artificial intelligence (AI) detection tools for intracranial hemorrhage (ICH) are increasingly integrated into radiology workflows. In re...

The role of interpersonal trust in public acceptance of AI-driven recruitment.

As artificial intelligence (AI) technology expands into decision-making domains such as recruitment, concerns over fairness, transparency, and public ...

Quantitative evaluation of an artificial intelligence-driven remote monitoring system for occlusion assessment using patient-captured images.

OBJECTIVES: To evaluate the accuracy of an artificial intelligence (AI) model developed by DentalMonitoring for assessing occlusal parameters from pat...

Assessing Military Artificial Intelligence Responses to Anterior Cruciate Ligament Injury Frequently Asked Questions.

INTRODUCTION: Artificial intelligence is gaining significant traction, particularly in the orthopedic literature. To date, there has been no published...

A process-guided uncertainty-aware deep learning framework for reliable and interpretable industrial fault diagnosis.

Timely fault detection is essential for safety, product quality, and energy efficiency in advanced industrial processes. However, many existing fault ...

Development and Implementation of a Machine Learning Model for Prediction of Surgical Case Duration.

BACKGROUND: Accurate surgical case duration estimation (CDE) is critical for operating room efficiency, staffing, resource allocation, and patient saf...

From traditional classroom to AI-enhanced flipped classroom: a three-year pedagogical evolution for international students in pharmacology.

BACKGROUND: Pharmacology education faces challenges in developing higher-order thinking, especially for international students to overcome cross-cultu...

Employee perceptions of AI adoption across service domains in a Finnish public health and social care organization: a cross-sectional mixed-methods study.

BACKGROUND: Empirical evidence on how employees across different service domains within a single multi-sector public organization perceive AI adoption...

Overrepresentation Bias Leads to Performance Overestimation in Blood-Brain Barrier Permeability Prediction Models: Characterization and Mitigation.

Recent advancements in blood-brain barrier permeability (BBBP) prediction of drug compounds have highlighted the growing role of machine learning, par...

The Validity and Reliability of Artificial Intelligence Chatbots in the Self-management of Diabetes.

Artificial intelligence (AI) chatbots are increasingly used to support diabetes self-management, yet their validity and reliability require systematic...