Towards Enhancing Trust in AI: A Focused Evaluation of ChatGPT in Pediatric Headache Management DOI
Alejandro García‐Rudolph, Elena Hernández

Journal of Pediatric Health Care, Год журнала: 2024, Номер 38(6), С. 791 - 793

Опубликована: Ноя. 1, 2024

Язык: Английский

Generative AI in education and research: A systematic mapping review DOI
Abdullahi Yusuf, Nasrin Pervin, Marcos Román González

и другие.

Review of Education, Год журнала: 2024, Номер 12(2)

Опубликована: Авг. 1, 2024

Abstract Given the potential applications of generative AI (GenAI) in education and its rising interest research, this systematic review mapped thematic landscape 407 publications indexed Web Science, ScienceDirect Scopus. Using EPPI Reviewer, publication type, educational level, disciplines, research areas GenAI were extracted. Eight discursive themes identified, predominantly focused on ‘application, impact potential’, ‘ethical implication risks’, ‘perspectives experiences’, ‘institutional individual adoption’, ‘performance intelligence’. was conceptualised as a tool for ‘pedagogical enhancement’, ‘specialised training practices’, ‘writing assistance productivity’, ‘professional skills development’, an ‘interdisciplinary learning tool’. Key gaps highlighted include paucity discussions K‐12 education; limited exploration GenAI's using experimental procedures; ethical concerns from lens cultural dimensions. Promising opportunities future are highlighted.

Язык: Английский

Процитировано

18

Artificial Intelligence in Nursing: New Opportunities and Challenges DOI Creative Commons
Estel·la Ramírez‐Baraldes, Daniel García‐Gutiérrez, Cristina García‐Salido

и другие.

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Янв. 31, 2025

ABSTRACT To explore the opportunities and challenges of artificial intelligence (AI) in nursing its impact. Bibliographic review using Arksey O'Malley's framework, enhanced by Levac, Colquhoun O'Brien following PRISMA guidelines, including qualitative mixed studies. MeSH terms keywords such as education ethical considerations were used databases PubMed, Scopus, Web Science, CINAHL, IEEE Xplore Google Scholar. Of all, 53 studies included, highlighting various AI integration for personalised learning, training improvement evaluation. Highlighting related to academic integrity, accuracy, data privacy security, development critical thinking skills. The offers significant advantages improving quality effectiveness education, equitable access, this reason, faculty should be geared toward education.

Язык: Английский

Процитировано

2

Exploring Nursing Students' Attitudes and Readiness for Artificial Intelligence: A Cross-Sectional Study DOI
Turgay Yalcinkaya, Eda Ergın, Şebnem Çınar Yücel

и другие.

Teaching and learning in nursing, Год журнала: 2024, Номер 19(4), С. e722 - e728

Опубликована: Авг. 2, 2024

Язык: Английский

Процитировано

9

Investigation of nurses’ general attitudes toward artificial intelligence and their perceptions of ChatGPT usage and influencing factors DOI Creative Commons
Gülsüm Zekiye Tuncer, Metin Tuncer

Digital Health, Год журнала: 2024, Номер 10

Опубликована: Янв. 1, 2024

Purpose This study aimed to investigate professional nurses’ general attitudes toward artificial intelligence, their knowledge and perceptions of ChatGPT usage, the influencing factors. Methods The population research consists nurses who follow a social media platform account in Turkey. sample consisted 288 participated between December 2023 March 2024. Data were collected through an on via Google Forms using Information Identification Questionnaire for Artificial Intelligence Programs General Attitudes Scale (GAAIS). Results mean scores obtained from overall GAAIS its Positive subscale participants this 67.54 ± 13.14 41.89 11.24, respectively. Of participants, 48.3% knew about intelligence programs. 27.8% used Their Attitude higher than those did not use such 84.4% thought that should be made aware programs, 67% these programs would contribute development, 42.4% reduce workload, 58.3% positively affect patient care. Conclusion In study, it can said Turkey have positive integrating AI improve outcomes add them nursing practices. Implications practice present which implementation investigated is expected provide information healthcare institutions, policy makers developers integration into practice. It necessary create environments technologies workload clinical area quality

Язык: Английский

Процитировано

4

Current Trends and Future Implications in the Utilization of ChatGPT in Nursing: A Rapid Review DOI Creative Commons
Manal Kleib, Elizabeth Mirekuwaa Darko, Oluwadamilare Akingbade

и другие.

International Journal of Nursing Studies Advances, Год журнала: 2024, Номер 7, С. 100252 - 100252

Опубликована: Ноя. 1, 2024

The past decade has witnessed a surge in the development of artificial intelligence (AI)-based technology systems for healthcare. Launched November 2022, ChatGPT (Generative Pre-trained Transformer), an AI-based Chatbot, is being utilized nursing education, research and practice. However, little known about its pattern usage, which prompted this study.

Язык: Английский

Процитировано

4

Microwave Drying of Basil (Ocimum sanctum) Leaves with Chitosan Coating Pretreatment: Bibliometric Analysis and Optimization DOI Creative Commons
Heri Septya Kusuma,

Debora Engelien Christa Jaya,

Nafisa Illiyanasafa

и другие.

Digital Chemical Engineering, Год журнала: 2025, Номер unknown, С. 100225 - 100225

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Development and Evaluation of an AI-Assisted Answer Assessment (4A) for Cognitive Assessments in Nursing Education DOI Creative Commons
Piyanut Xuto, Piyaporn Prasitwattanaseree, Tareewan Chaiboonruang

и другие.

Nursing Reports, Год журнала: 2025, Номер 15(3), С. 80 - 80

Опубликована: Фев. 26, 2025

Artificial intelligence (AI) can potentially enhance cognitive assessment practices in maternal and child health nursing education. Objectives: To evaluate the reliability, accuracy precision, external validity of an AI-assisted answer (4A) program for assessments Methods: This study is a validation study. Initially, 170 students from northern Thailand participated, with 52 randomly selected detailed testing. Agreement testing between 4A human experts was conducted using intraclass correlation coefficient (ICC). Accuracy precision compared scores expert via McNemar test. External involved 138 participants to compare program’s against national examination outcomes logistic regression. Results: Results indicated high level consistency (ICC = 0.886). With 0.808 0.913, expert’s 0.923 1.000. The test (χ2 0.4, p 0.527) showed no significant difference evaluation performance AI experts. Higher on significantly predicted success (OR: 1.124, 0.031). Conclusions: demonstrates potential reliably assessing students’ abilities predicting exam success. advocates continued integration educational importance refining systems better align traditional methods.

Язык: Английский

Процитировано

0

Can large language models facilitate the effective implementation of nursing processes in clinical settings? DOI Creative Commons
Yuqin Cao, Hu Li, Xu Cao

и другие.

BMC Nursing, Год журнала: 2025, Номер 24(1)

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0

The Turkish Version of the Technology Acceptance Model-Based Scale TAME-ChatGPT: A Validity and Reliability Study DOI
Ebru Küçük, Buket Meral, Kıymet Yeşilçiçek Çalık

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2025, Номер unknown, С. 1 - 12

Опубликована: Апрель 15, 2025

Язык: Английский

Процитировано

0

Patterns, Advances, and Gaps in Using ChatGPT and Similar Technologies in Nursing Education: A PAGER Scoping Review DOI
Isaac Amankwaa, Emmanuel Ekpor,

Daniel Cudjoe

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 22, 2025

Abstract Background and aim: Generative AI (GenAI) can transform nursing education modernise content delivery. However, the rapid integration of these tools has raised concerns about academic integrity teaching quality. Previous reviews have either looked broadly at artificial intelligence or focused narrowly on single like ChatGPT. This scoping review uses a structured framework to identify patterns, advances, gaps, evidence, recommendations for implementing GenIA in education. Methods followed JBI methodology PRISMA-ScR guidelines. We searched PubMed, CINAHL, SCOPUS, ERIC, grey literature (October November 2024). Six reviewers independently screened extracted data using Covidence software. Data synthesis used PAGER derive evidence practice, recommendations. Team meetings cross-validation ensured analytical rigour. Results Analysis 107 studies revealed implementation GenAI across key domains. Usage patterns emerged high-stakes assessment, clinical competency development, evidence-based creation. Implementation approaches varied through restrictive, integrative, hybrid models. Technical advances showed GPT-4 achieved 88.67% accuracy nursing-specific assessments compared 75.3% GPT-3.5, with enhanced capabilities scenario generation multilingual support. Key challenges included limited methodological rigour (29.0% empirical studies), lack frameworks, inequitable access. The is dominated by publications from North America (42.1%) Asia (29.9%). Conclusions transformative potential To realise its full ensure responsible use, research should focus developing standardised governance empirically validating outcomes, faculty literacy, improving technical infrastructure low-income contexts. Such efforts involve international collaboration, highlighting importance audience's role global healthcare community.

Язык: Английский

Процитировано

0