Surveys

Reliability of an artificial intelligence software in the detection of approximal caries lesions using bitewing radiographs.

INTRODUCTION: This study evaluates the reliability of an artificial intelligence (AI) software for d...

Evaluating the Performance and Potential Bias of Predictive Models for Detection of Transthyretin Cardiac Amyloidosis.

BACKGROUND: Delays in the diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) contribute to ...

Accuracy and Reliability of ChatGPT in Answering Patient Questions About Lung Cancer and Its Surgery: An Expert Panel Evaluation by Thoracic Surgeons.

This study aimed to evaluate the accuracy, clarity, and scientific adequacy of ChatGPT's responses t...

Assessing risk of bias in toxicological studies in the era of artificial intelligence.

Risk of bias is a critical factor influencing the reliability and validity of toxicological studies,...

Rock blasting evaluation - image recognition method based on deep learning.

The image analysis of rock blasting fragmentation and half-hole rates serves as a pivotal basis for ...

Letter to the Editor: Navigating bias in machine learning-reevaluating feature importances through robust statistical analysis.

A Model Predicting Artificial Intelligence Use by Gastroenterology Nurses in Clinical Practice: A Cross-Sectional Multicenter Survey.

BACKGROUND AND AIMS: Nurses' participation during colonoscopy has been demonstrated to significantly...

Large language models predict cognition and education close to or better than genomics or expert assessment.

Previous research using standard social survey data has emphasized a relative lack of power when pre...

3rd Comprehensive Survey of the Neuroradiology Work Environment in the United States with Reported Trends in Clinical Work, Nonclinical Work, Errors, Burnout and Retirement.

BACKGROUND AND PURPOSE: With the workforce shortage in the United States, neuroadiologists' workload...

Clinical obstacles to machine-learning POCUS adoption and system-wide AI implementation (The COMPASS-AI survey).

BACKGROUND: Point-of-care ultrasound (POCUS) has become indispensable in various medical specialties...

Folate metabolism-associated CYP26A1 is a clinico-immune target in colorectal cancer.

Folic acid plays a crucial role in cellular regulation and metabolism, commonly included in dietary ...

Does Hessian Data Improve the Performance of Machine Learning Potentials?

The integration of machine learning into reactive chemistry, materials discovery, and drug design is...

Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review.

OBJECTIVE: To assess the methodological quality and the risk of bias, of studies that developed pred...

The effectiveness of explainable AI on human factors in trust models.

Explainable AI has garnered significant traction in science communication research. Prior empirical ...

Identifying predictors and assessing causal effect on hypertension risk among adults using Double Machine Learning models: Insights from Bangladesh Demographic and Health Survey.

BACKGROUND: Hypertension poses a significant public health challenge in low- and middle-income count...

AI-Powered Assessment of Motor Development: Using Platforms Like KineticAI to Analyze Fundamental Movement Skills in Children.

The aim of this study is to examine the precision, dependability, and relevance of AI-based evaluati...

Optimization for threat classification of various data types-based on ML model and LLM.

With the development of AI technology, the number of cyber security threats that exploit it is incre...

Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data.

Knee injuries are common in several people, frequently controlling for significant injuries and heal...

How Well Do Simulated Population Samples with GPT-4 Align with Real Ones? The Case of the Eysenck Personality Questionnaire Revised-Abbreviated Personality Test.

Advances in artificial intelligence have enabled the simulation of human-like behaviors, raising th...

Unraveling research self-efficacy and concerns as factors associated with psychological distress among nursing scholars in the era of artificial intelligence: a multi-campus survey.

BACKGROUND: The relentless march of artificial intelligence (AI) has emerged as a formidable catalys...

Advancements in the application of MRI radiomics in meningioma.

Meningiomas are among the most common intracranial tumors, and challenges still remain in terms of t...