Surveys

Temporal Germination of Lettuce under Salinity and Nano-Silicon: A High-Throughput Phenomics Framework with Deep Learning.

Accurate high-throughput evaluation of seed germination under abiotic stress is often hindered by subjective manual scoring and insufficient temporal resolution. This study introduces an integrated phenomics framework leveraging an explainable deep learning model for real-time monitoring of lettuce (Lactuca sativa L.) germination dynamics under salinity stress and nano-silicon priming. Utilizing a...

Evaluation of parents' attitudes and perceptions regarding the use of artificial intelligence in dental practice: a cross-sectional survey.

AIM: This study aimed to evaluate the attitudes and perceptions of parents of pediatric patients in our sample towards the growing use of artificial intelligence in dental practices. MATERIALS AND METHODS: The descriptive cross-sectional survey study was conducted with parents of pediatric patients who visited the Kırıkkale University School of Dentistry for routine dental examinations between 202...

Reinforcement learning for treatment decision-making in sepsis: a scoping review.

This scoping review summarizes the progress of reinforcement learning (RL) in clinical decision-making for sepsis at the intersection of medicine and ...

Investigating the relationship between attitudes toward artificial intelligence and moral sensitivity among nursing students.

INTRODUCTION: Given the increasing use of artificial intelligence in the field of health and treatment, including nursing, it is necessary to draw stu...

Methodological quality and performance of artificial intelligence and machine learning models for preoperative risk prediction in plastic surgery: A systematic review.

Artificial intelligence (AI) and machine learning (ML) are increasingly being applied to preoperative risk prediction in plastic surgery; however, the...

Public evaluations of AI-mediated healthcare when considering people with diverse access and support needs: a mixed-methods survey.

BACKGROUND: Artificial intelligence (AI) is increasingly being introduced into healthcare, including patient communication, monitoring, triage, decisi...

Attitudes, usage patterns, and learning interests of medical students toward DeepSeek in medical education: A cross-sectional survey.

The integration of artificial intelligence (AI) tools like DeepSeek into scientific research offers new opportunities for efficiency and innovation. H...

Bias and Fairness Across the Healthcare AI Lifecycle: A Clinician-Oriented Review.

Artificial intelligence (AI) is increasingly being investigated and, in selected clinical settings, implemented to support diagnosis, triage, and work...

Understanding Harm Generated by Analytic Technique Bias from the Afro-communitarian Perspective.

This primarily normative article draws on three ideas - exclusivism, (transformative) inclusivism and incompleteness/conviviality - grounded in Afro-c...

Enhancing medical imaging teaching on scoliosis: Efficacy of learning method integrating 3D printing and artificial intelligence technologies.

BACKGROUND: In scoliosis imaging education, the traditional lecture-based learning model can lead to low student engagement and present challenges in ...

Cross-cultural adaptation and psychometric evaluation of the Japanese version of the scale for the assessment of non-experts' AI literacy among medical trainees in a multicenter cross-sectional study.

This cross-sectional study aimed to develop the Japanese version of the "Scale for the assessment of non-experts' AI literacy" (J-SNAIL) and provide i...

Techniques, Performance, and Feasibility of Natural Language Processing for Abstract Screening in Evidence Synthesis: A Systematic Review.

BACKGROUND: Natural language processing (NLP) techniques offer promising solutions for semi-automating the time-consuming process of abstract screenin...

Development of the nursing artificial intelligence readiness scale for nursing students: a validity and reliability study.

BACKGROUND: The rapid integration of artificial intelligence (AI) into healthcare has amplified the need for nurses who can engage with AI-supported s...

Patient and physician perspectives on large language model generated responses about brain aneurysm.

PURPOSE: Large language models (LLMs) are becoming increasingly popular in medicine and neurosurgery. Because LLMs are not trained in specific subspec...

A Deterministic Framework for Transforming Multi-Informant Observational Data into Structured Descriptors: A Feasibility Study.

Background Multi-informant observational data obtained from parents and educators provide rich but context-dependent information. However, these data ...

Mitigating medical bias in large language models by prompt engineering: an empirical study of effectiveness and trade-offs.

Large language models (LLMs) demonstrate expert-level performance in various medical scenarios, yet their outputs can exhibit bias against groups or i...

Limitations of public chest radiography datasets for artificial intelligence: label quality, domain shift, bias and evaluation challenges.

Artificial intelligence (AI) has shown significant promise in chest radiography, where deep learning models can approach radiologist-level diagnostic ...

Machine learning-driven integration of 24-hour ambulatory blood pressure and its variability.

Twenty-four hour ambulatory blood pressure (BP) monitoring (24-hour ABPM) is considered the best out-of-office BP measurement to assess hypertension. ...

Development and validation of the AI literacy, risk perception, and academic confidence questionnaire for Chinese pre-service teachers.

Artificial intelligence (AI) is becoming increasingly relevant to teacher education, yet evidence remains limited on how pre-service teachers' AI lite...

The Impact of Social Media and Artificial Intelligence on Illness Perception and Treatment Adherence in Patients With Rheumatic Diseases.

BACKGROUND/OBJECTIVE: In the wake of the COVID-19 "infodemic," patients increasingly turn to social media (SM) and artificial intelligence (AI) for he...