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Surveys

Latest AI and machine learning research in surveys for healthcare professionals.

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Evaluation of the Validity and Reliability of AI Chatbots in Response to Frequently Asked Questions About Teeth Whitening.

OBJECTIVE: This study aimed to evaluate the validity and reliability of responses generated by GPT-4...

Jun 2026 42347030
Deep Learning Models for Detection of Periapical Radiolucent Lesions on Panoramic Radiographs: A Systematic Review and Meta-Analysis.

BACKGROUND: Panoramic radiographs are used routinely to screen dental conditions and treatment patte...

Jun 2026 42347838
AneuSI: A software tool to isolate a region of interest in cerebral aneurysms from full geometrical models.

BACKGROUND AND OBJECTIVE: Modeling cerebral aneurysms using patient-specific geometries demands sign...

(4)
Jun 2026 42348982
AI and machine learning for early identification of eating disorders: a narrative review and Indian contextual insights.

BACKGROUND: Eating disorders (EDs) are a growing global health concern and are increasingly associat...

Jun 2026 42350841
AI integration into undergraduate health education streams- a multicenter study in Sri Lanka.

BACKGROUND: Despite rapid integration of AI in healthcare, formal AI education remains limited in he...

(2)
Jun 2026 42351073
Dine in or take out dataset: user behavior in an interactive virtual reality café.

We present the Dine In or Take Out Dataset, a virtual reality dataset collected using a Meta Quest P...

Jun 2026 42404146
Artificial Intelligence and Algorithmic Bias in Burn Care: A Literature Review of Ethical Challenges.

Artificial intelligence (AI) is increasingly integrated into burn care for triage, burn-depth assess...

(1)
Jun 2026 42340329
Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review.

BACKGROUND: Driven by recent advances in artificial intelligence (AI), particularly in medicine, aud...

(1)
Jun 2026 42341346
Improving decision reliability in transport safety engineering through a machine learning-based model.

Ensuring defensible policy inferences and robust decision reliability is fundamental for multi-crite...

Jun 2026 42342738
Identifying and mitigating bias in multiple aspects of modern clinical research.

In clinical research, bias is a systematic error that creates a difference between observed and true...

Jun 2026 42342882
Consensus on the use of artificial intelligence in the management and measurement of vestibular schwannomas: A protocol for a modified delphi consensus.

INTRODUCTION: The assessment of vestibular schwannomas (VS) requires a standardized approach as grow...

Jun 2026 42337091
NeuroCypher ASD: Machine Learning with Knowledge Graph-Based Representation for ASD Screening in Toddlers.

Autism Spectrum Disorder (ASD) screening often relies on structured questionnaires. Yet these data a...

Jun 2026 42666557
Preoperative considerations for nonoperating room anesthesia.

PURPOSE OF THE REVIEW: This review aims to address the unique challenges in nonoperating room anesth...

(2)
Jun 2026 42228413
Development of vignette-based evaluation with generative artificial intelligence (VEGA) for nursing students: a pilot study.

BACKGROUND: Advances in AI have introduced new opportunities in nursing education. Vignette-based it...

Jun 2026 42337505
Knowledge, Benefits, and Challenges of ChatGPT Use in Education Among Nursing Students: A Descriptive, Cross-Sectional Study.

BackgroundWith the growing integration of artificial intelligence (AI) tools like ChatGPT in educati...

Jun 2026 42337907
Bias-induced NO adsorption and configurational transitions on Cu(110): a machine learning enhanced first-principles grand canonical study.

Precise control over the configurational changes of molecules adsorbed on metal surfaces is critical...

Jun 2026 42300071
Exploring the Lived Experience of Acne in the United States and the United Kingdom: Social Media Analysis.

BACKGROUND: Acne is a chronic skin condition that primarily affects adolescents and young adults but...

(1)
Jun 2026 42335467
Machine Learning-Based Prognostic Models for Functional Outcomes in Spinal Cord Injury: Systematic Review.

BACKGROUND: Machine learning is increasingly used to develop prognostic prediction models for spinal...

Jun 2026 42336353
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