Surveys

Toward tailored implementation of an artificial intelligence-based healthy dietary chatbot: differences in technology acceptance pathways by health consciousness and user characteristics.

BACKGROUND: Artificial intelligence (AI) health chatbots are increasingly used for health education and health promotion, yet the mechanisms underlying their adoption and the heterogeneity across user groups remain insufficiently understood. METHODS: Drawing on the Technology Acceptance Model (TAM), this study examined behavioral intention to use an artificial intelligence-based healthy dietary ch...

Dental Students' and Educators' Perceptions Toward the Adoption of Artificial Intelligence in Dental Education: A Survey-Based Study.

PURPOSE: The integration of artificial intelligence (AI) into dentistry has the potential to transform dental education, clinical training, and research. However, the perspectives of direct stakeholders remain underexplored. This cross-sectional study aimed to describe current knowledge, perceptions, and self-reported usage patterns of AI tools among dental students and faculty at a single institu...

Prompt Framing and Evidence Requirements for AI-Generated Educational Responses in Dental Education: An Experimental Study.

BACKGROUND: Large language models (LLMs) are increasingly used in health professions education; however, the role of prompt design in shaping their ou...

BiasLab: A multilingual dual-framing framework for LLM bias measurement, applied to workplace and HR contexts.

BackgroundLarge language models (LLMs) harbor systematic biases that are particularly consequential in workplace and HR contexts, where their outputs ...

Frailty burden and symptomatic BPH/LUTS in aging men: evidence from two nationally representative population-based studies.

BACKGROUND: The frailty index (FI) is a well-established marker of biological aging and a widely validated predictor of adverse health outcomes in old...

Can ChatGPT Be Trusted for Urologic Patient Education? A Comparative Study of Stress Urinary Incontinence-Related Information From Versions 3.5 and 4.

INTRODUCTION AND HYPOTHESIS: The application of artificial intelligence tools such as ChatGPT in patient education is expanding rapidly. Female stress...

Digital and AI-enabled models in pharmaceutical development and manufacturing: a regulatory-focused industry survey.

Digital and artificial intelligence (AI)-enabled tools are increasingly being applied across pharmaceutical Chemistry, Manufacturing and Controls (CMC...

AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey.

INTRODUCTION: The integration of artificial intelligence (AI) into the medical imaging (MI) curriculum has been advocated by many international profes...

An AI-based urban environmental monitoring framework for green view index assessment using street-level imagery in a hot-arid pedestrian corridor.

Estimating the green view index (GVI) from street-level panoramas in hot-arid streetscapes is difficult because sparse vegetation, strong sunlight, an...

Quality and nutritional accuracy of mHealth nutrition apps in Türkiye: A validation study using food records.

Background: Mobile health (mHealth) applications are increasingly used for dietary assessment and self-monitoring, yet their validity and comprehensiv...

Community Health Nurses' Perceptions of Emerging Artificial Intelligence and its Impact on Nursing Practice: An Explanatory Sequential Mixed Methods Study.

BackgroundArtificial intelligence (AI) continues to emerge into nursing practice with much of the AI research being conducted in the acute care sector...

Evaluating machine learning algorithms for accurate prediction of yearling weight in Magra sheep.

This study was designed to predict the Twelve-month body weight from live body weights at different age of Magra sheep, reared on Arid Region Campus (...

Artificial Intelligence for Cervical HPV Infection and Lesion Screening: A Cross-Sectional Analysis of Its Application Potential and Patient Satisfaction.

OBJECTIVE: This cross-sectional study aimed to explore the application potential of artificial intelligence (AI) in screening and diagnosing cervical ...

Applications of Large Language Models in Ovarian Cancer Management: Protocol for a Systematic Review and Meta-Analysis.

BACKGROUND: Ovarian cancer (OC) is a highly fatal gynecologic malignancy with complex management challenges and limited long-term survival for advance...

Development of a machine learning-based model for predicting adverse pregnancy outcomes in women with polycystic ovary syndrome (PCOS): a retrospective observational study protocol.

INTRODUCTION: Polycystic ovary syndrome (PCOS) is a prevalent endocrine condition in reproductive-aged women, which is associated with adverse materna...

From hype to reality: the feasibility, dilemmas, and solutions of Gen AI in medical education from students' perspectives.

BACKGROUND: The rapid evolution of generative artificial intelligence (AI) has sparked a pedagogical debate over whether AI can replace human teachers...

Artificial intelligence for detection, prediction, and severity classification of diabetic peripheral neuropathy: a systematic review.

BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common complication of diabetes and an important contributor to foot ulceration and lower limb a...

Professional burnout among dietitians and the perceived role of artificial intelligence tools.

Professional burnout is an increasingly recognized problem among healthcare professionals, including dietitians, and may negatively affect both job sa...

Performance evaluation of five major large language models in tuberculosis Q&A systems: A multidimensional assessment of readability, quality, and reliability.

BACKGROUND: Pulmonary tuberculosis (TB) is a chronic infectious disease that burdens patients and public health systems. Limited reach of traditional ...

Enhancing patient care with AI agents: integrating advanced chatbot technologies for improved healthcare delivery.

The integration of artificial intelligence (AI) in healthcare presents significant opportunities to enhance patient care and streamline medical workfl...