Surveys

Machine Learning Prediction Models for Preeclampsia: Systematic Review and Meta-Analysis.

BACKGROUND: Preeclampsia is a severe hypertensive disorder with rising global prevalence. While machine learning (ML) models for predicting preeclampsia are increasingly published, existing evidence shows high heterogeneity, and the distinction between internal performance and external transferability remains unclear. OBJECTIVE: This study aims to evaluate the performance of ML models in predictin...

Estimation of IPSS and OABSS scores using ChatGPT-4o: a comparative validation study in Korea.

PURPOSE: To evaluate the performance of ChatGPT-4o in estimating International Prostate Symptom Score (IPSS) and Overactive Bladder Symptom Score (OABSS) based on patients' natural language descriptions and full outpatient records, compared to actual questionnaire scores. MATERIALS AND METHODS: This study included 91 patients, of whom 52 completed IPSS and 77 completed OABSS. ChatGPT-4o was prompt...

Unveiling the relationship between stress-hyperglycemia ratio and cardiometabolic multimorbidity risk using interpretable machine learning.

BACKGROUND: Cardiometabolic multimorbidity (CMM) is the simultaneous manifestation of multiple cardiovascular and metabolic diseases, and it has arise...

Integrating artificial intelligence to enhance inclusive education for students with special needs in Jordan and the UAE: Perspectives of teachers and parents.

This study examines the potential of integrating artificial intelligence (AI) into inclusive education practices in Jordan and the UAE, focusing on th...

Inter-rater reliability of a classification systems for distal radius fractures using radiology text and x-rays: what really matters?

PURPOSE: This study used different metrics to assess the reliability of radiology text and images in Distal Radial Fractures (DRF) classifications usi...

Association of depressive symptoms with systemic immune-inflammation index and platelet parameters among survivors of myocardial infarction: a cross-sectional NHANES study enhanced by machine learning and SHAP analysis.

BACKGROUND: Inflammation is implicated in the elevated risk of depressive disorder following myocardial infarction (MI), with platelets serving as a k...

A Study on the Effectiveness of Al-Assisted Patient Health Education Using Voice Cloning and ChatGPT: A Prospective Randomized Controlled Trial.

BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially limiting knowledge acquisition and treatment adheren...

Deployable and Stiffness-Variable Miniature Actuator with Water Circulation Channel and Shape Memory Polymer.

Medical care in the gastrointestinal (GI) tract is a major global issue. Soft actuators are expected to solve associated issues such as poor accessibi...

Survey data on students' perceptions, knowledge, and use of learning analytics (LA) and generative artificial intelligence (GenAI) for the personalization of learning.

This data article describes the dataset from the project ``Teacher Mediation in the Integration of Learning Analytics and Artificial Intelligence in C...

Optimisation of Maslow's hierarchy of needs-based survey form for nursing home residents using machine learning.

The global increase in the elderly population necessitates accurate assessment of the needs of individuals residing in nursing homes. This study aims ...

Barriers and facilitators to implementing the living guideline development framework in oncology: a mixed methods study.

OBJECTIVE: To explore stakeholder experiences with implementing the living guideline (LG) development framework in oncology, and to identify barriers,...

Predicting the progression of difficult-to-treat rheumatoid arthritis by a machine learning scoring system, from the FIRST registry.

OBJECTIVES: This study aimed to develop and validate a prediction model for the future progression of difficult-to-treat rheumatoid arthritis (D2T RA)...

Survival and Surrogate Biomarkers in Interventional Oncology Trials: Pitfalls, Challenges, and Future Directions.

INTRODUCTION: Interventional oncology (IO) is a key component of multidisciplinary cancer care, delivering minimally invasive therapies with safety an...

Artificial intelligence performance in maxillary canine impaction: a systematic review.

OBJECTIVES: This systematic review evaluates the literature to determine the usefulness and rules of artificial intelligence (AI) in the diagnosis and...

Integrating Artificial Intelligence Into Exposure Therapy: A One Year Follow-Up Case Report of Emetophobia With Comorbid Panic Disorder.

Emetophobia is a specific phobia characterized by an intense fear of vomiting, often accompanied by panic attacks, hypervigilance to bodily sensations...

Evaluation of a Problem-Based Learning Program's Effect on Artificial Intelligence Ethics Among Japanese Medical Students: Mixed Methods Study.

BACKGROUND: The rapid advancement of artificial intelligence (AI) has had a substantial impact on medicine, necessitating the integration of AI educat...

Effectiveness of Machine Learning in Detecting Vessels Encapsulating Tumor Clusters in Hepatocellular Carcinoma: Systematic Review and Meta-Analysis.

BACKGROUND: Vessels encapsulating tumor clusters (VETC) are significantly associated with poor prognosis in hepatocellular carcinoma (HCC). However, i...

Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study.

BACKGROUND: Artificial intelligence (AI) offers potential solutions to address the challenges faced by a strained mental health care system, such as i...

Adaptation of the Japanese Version of the 12-Item Attitudes Towards Artificial Intelligence Scale for Medical Trainees: Multicenter Development and Validation Study.

BACKGROUND: In the current era of artificial intelligence (AI), use of AI has increased in both clinical practice and medical education. Nevertheless,...

Research on cross-regional adaptation strategies for AI-enabled teaching devices from an educational equity perspective.

This study investigates the impact of AI-enabled teaching devices on educational equity, focusing on the differences in their effectiveness between ec...