Surveys

Exploring ChatGPT's clinical role in prosthodontics: a systematic review.

BACKGROUND: The integration of artificial intelligence (AI) into clinical dentistry has opened new avenues for diagnostic support and treatment planning. Among AI tools, large language models such as ChatGPT have shown potential in assisting clinical reasoning. Prosthodontics, due to its interdisciplinary complexity and individualized treatment protocols, presents a particularly demanding context ...

What are the views of cancer care administrators and clinicians in England on the use of a machine learning clinical decision support system (ML-CDSS) to predict patients' risk of hepatic and renal deterioration during chemotherapy? A qualitative study.

OBJECTIVE: To explore administrators' and clinicians' views on the factors that influence their use and adoption of a machine learning clinical decision support system (ML-CDSS) to predict patients' risk of hepatic and renal deterioration during chemotherapy. METHODS AND ANALYSIS: This was a qualitative study that used purposive sampling. 18 participants with administration and clinical background...

Genital-prioritized attentional bias in lifelong premature ejaculation: behavioral evidence from eye-tracking and machine learning.

Lifelong premature ejaculation (LPE) involves altered responses to sexual cues. Neuroimaging has identified attention-related neural abnormalities in ...

Evaluating Retrieval-Augmented Generation for Guideline-Grounded Textual Planning in Implant Dentistry: A Comparative Study.

OBJECTIVES: To evaluate whether a retrieval-augmented generation (RAG) framework can enhance citation precision and improve the clinical reliability o...

The Immediate Effects of a 3D Intraoral Scanner as an Adjunctive Oral Hygiene Educational Tool: A Randomised Controlled Trial.

OBJECTIVES: This single-visit randomised controlled clinical trial (RCT) aimed to evaluate the immediate effects of a three-dimensional (3D) intraoral...

The development of FEDUPP: feeding experimentation device users processing package to assess learning and cognitive flexibility.

Cognitive flexibility, the ability to adapt behavior in response to changing contingencies, is a key component of adaptive decision-making and is impa...

Automated tooth numbering on panoramic radiographs versus cone-beam computed tomographs: A diagnostic accuracy study of a commercial artificial intelligence system.

OBJECTIVES: To assess the diagnostic accuracy of a commercial artificial intelligence system for automated tooth numbering on panoramic radiographs an...

Using Digital Phenotyping for Depression Screening in Community-Dwelling Older Adults: Bayesian Multilevel Hurdle Model Machine Learning Approach.

BACKGROUND: With the rapidly aging population, mental health among older adults has received growing attention. Although the likelihood of experiencin...

Using Generative AI to Appraise the Quality of Medical Education Research Studies: Agreement Between AI-Generated and Human MERSQI Scores.

OBJECTIVES: The increasing volume of medical education research necessitates efficient, reliable, and scalable methods for conducting quality appraisa...

AI-Based Markerless Computer Vision Framework for Open Surgery Skill Assessment: A Prototype Assessment Framework.

BackgroundArtificial intelligence (AI) enables hand motion tracking from standard surgical video recordings; however, translating these data into mean...

A Psychometric Analysis of an AI-Assisted Tool for Assessing Learning Outcomes in Veterinary Education.

This study introduces an artificial intelligence-human-in-the-loop (AI-HITL) process to create an instrument for evaluating the quality of learning ou...

Machine Learning and Deep Learning Models for Predicting Future Falls in Community-Dwelling Older Adults: Systematic Review and Meta-Analysis of Longitudinal Evidence.

BACKGROUND: Machine learning (ML) and deep learning (DL) show promise for fall risk prediction, but prior reviews focused mainly on real-time fall det...

Application of a conversational AI system for voice-interactive history taking in neurosurgical patients.

BACKGROUND: ccurate and structured medical history taking is essential in neurosurgical practice, but repetitive inpatient interviews can be time-cons...

Investigating AI competence among Chinese secondary school teachers: Insights from the UNESCO framework.

This study adopts a quantitative research design employs the UNESCO Teacher AI Competency Framework to assess and validate the artificial intelligence...

Machine learning models for outcome prediction of patients with ischaemic stroke undergoing reperfusion therapy: a systematic review and meta-analysis.

BACKGROUND: Reperfusion therapy, including thrombolysis and thrombectomy, is crucial for ischaemic stroke treatment. However, patient outcomes often r...

Artificial Intelligence-Driven Three-Dimensional Reconstruction System Reduced Unexpected Procedural Changes in Thoracic Surgery.

BACKGROUND: Although an artificial intelligence-driven three-dimensional reconstruction system (AI-3D) facilitates preoperative planning, its impact o...

An intelligent lung nodule classification model using 3D Trans-DenseUnet++-based lung nodule segmentation.

Lung nodule detectionis necessary for lung cancer treatment, which is crucial for treating the patients. However, the current dataset comprises only a...

Parents' knowledge, attitudes, and concerns regarding the use of artificial intelligence in pediatric medicine: a cross-sectional study.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in pediatric healthcare, with the potential to improve diagnostic and treatment accur...

Artificial intelligence models in cerebral infarction: performance and applications in diagnosis, classification, grading, treatment, and disease course prediction-a systematic review.

Artificial intelligence (AI) holds significant promise for transforming cerebral infarction care, yet its real-world performance across the entire dis...

The AI adoption paradox in Chinese medical education: a multi-institution cross-sectional study of usage patterns, critical literacy gaps, and adoption profiles among 3,194 undergraduate medical students.

BACKGROUND: Artificial intelligence tools are widely used by Chinese medical students, yet systematic evidence on usage patterns, critical literacy ga...