Qin Zeng
Dados Biográficos
| ID | 7260586 |
|---|---|
| NOME | Qin Zeng |
| PRENOMES | Qin |
| SOBRENOME | Zeng |
| ASSINATURA | ZENG Q |
| AFILIAÇÕES | Sichuan University |
| ORCID | 0000-0002-5993-628X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2024 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Artificial intelligence self-efficacy and attitudes among nursing students
BACKGROUND: The integration of artificial intelligence (AI) in nursing education is crucial for enhancing technological adaptability. However, the relationship between nursing students’ AI self-efficacy, attitudes, and educational level (associate vs. bachelor’s degrees) remains underexplored. Previous studies predominantly rely on linear models, which inadequately capture the complex dynamics of these factors. METHODS: This multicenter, cross-se…
AI-driven transformation of precision medicine
Objectives: This study aims to elucidate the pivotal role of Artificial Intelligence (AI) in driving the transformation of precision medicine, comprehensively analyzing how it reshapes healthcare systems from traditional diagnosis and treatment paradigms into personalized health management ecosystems. Methods: A comprehensive narrative review was conducted to systematically synthesize and critically evaluate the innovative applications, paradigm …
AI literacy and attitudes among maternal and child health nurses
Background: The successful integration of Artificial Intelligence (AI) in healthcare depends heavily on the literacy and attitudes of the frontline nursing workforce. While psychological barriers like "AI fear" are known, the complex interplay between literacy and attitudes across different levels of expertise remains poorly understood from a systemic perspective. Objective: This study aimed to utilize psychological network analysis (PNA) to map …
AI literacy as a potential mediator between attitude and self-efficacy among Picu nurses
Background Artificial intelligence (AI) is reshaping the healthcare landscape, particularly in high-stakes settings like pediatric intensive care units (PICU). While AI holds potential to enhance clinical care, its integration into nursing practice may depend on nurses’ attitudes, literacy, and self-efficacy regarding AI. However, the relationships among these constructs—and whether AI literacy plays an indirect role in the attitude–self-efficacy…
Unveiling age-differentiated pathways
Background: Enhancing the quality of life (QoL) of breast cancer survivors is a key public health priority. Spiritual well-being (SpWB) is recognized as a correlate, but its systemic role in connecting different life domains and how this varies by age remain unclear, hindering the generation of hypotheses for tailored support programs. Methods: We conducted a cross-sectional study of 302 breast cancer patients (stages I-III) in active treatment. …
Family protection motivation and economic vulnerability
Background In the post-pandemic era, influenza and COVID-19 jointly exacerbate global public health burdens, yet persistent biases in risk perception drive declining vaccination rates and health disparities. Conventional linear models fail to capture the complex interactions between risk cognition, family protection motivation, and socioeconomic vulnerability—particularly within collectivist contexts like China. This gap impedes effective interve…
Mechanisms of nurses’ AI use intention formation in Sichuan, Yunnan, and Beijing, China
Aim This study aimed to explore the formation mechanism of artificial intelligence (AI) usage intention among nurses in public hospitals in Beijing, Sichuan, and Yunnan, China, analyzing the influence of AI literacy on usage intention through AI self-efficacy and general attitudes. Methods A multi-center cross-sectional design was adopted, surveying 901 registered nurses via the Wenjuanxing platform from December 26, 2024, to February 25, 2025, w…
An analysis of factors influencing the demand for community-based integrated health and social care in Southwestern China
Objective: This cross-sectional study investigates the demand for CB-IHSC among older adults in Chengdu and identifies the factors influencing this demand, thereby providing a reference for developing and optimizing such services. Methods: From August to December 2023, 511 eligible older adults residing in the central districts of Chengdu were selected through convenience sampling. Guided by the Andersen Health Service Utilization Behavior Model,…
A Study on the Proposition of “Five Zi Returning to Geng 五子归庚” in Wang Wenqing 王文卿 Thunder Rituals—With a Discussion About the Characteristics of Leifa Internal Alchemy Theory
As the teachings continued to expand within Daoism, Thunder Rituals (Leifa 雷法) inevitably faced the crucial question of how to integrate the newly emphasized thunder element within the traditional Five-Phase system upon its emergence. To address this, Wang Wenqing (王文卿), the founding master of Shenxiao(神霄 Daoism school) Daoism who held a pivotal position in the realm of Thunder Rituals, creatively proposed the theory of “Five Zi Returning to Geng…
Jianpi Qushi Heluo formula ameliorates podocytes injury related with ROS-mediated NLRP3 inflammasome activation in membranous nephropathy by promoting Pink1-dependent mitophagy
Oral bacteriome and mycobiome of patients with idiopathic membranous nephropathy with different tongue coatings treated with a Chinese herbal formula
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Oral bacteriome and mycobiome of patients with idiopathic membranous nephropathy with different tongue coatings treated with a Chinese herbal formula
Family protection motivation and economic vulnerability
Background In the post-pandemic era, influenza and COVID-19 jointly exacerbate global public health burdens, yet persistent biases in risk perception drive declining vaccination rates and health disparities. Conventional linear models fail to capture the complex interactions between risk cognition, family protection motivation, and socioeconomic vulnerability—particularly within collectivist contexts like China. This gap impedes effective interve…
Mechanisms of nurses’ AI use intention formation in Sichuan, Yunnan, and Beijing, China
Aim This study aimed to explore the formation mechanism of artificial intelligence (AI) usage intention among nurses in public hospitals in Beijing, Sichuan, and Yunnan, China, analyzing the influence of AI literacy on usage intention through AI self-efficacy and general attitudes. Methods A multi-center cross-sectional design was adopted, surveying 901 registered nurses via the Wenjuanxing platform from December 26, 2024, to February 25, 2025, w…
An analysis of factors influencing the demand for community-based integrated health and social care in Southwestern China
Objective: This cross-sectional study investigates the demand for CB-IHSC among older adults in Chengdu and identifies the factors influencing this demand, thereby providing a reference for developing and optimizing such services. Methods: From August to December 2023, 511 eligible older adults residing in the central districts of Chengdu were selected through convenience sampling. Guided by the Andersen Health Service Utilization Behavior Model,…
A Study on the Proposition of “Five Zi Returning to Geng 五子归庚” in Wang Wenqing 王文卿 Thunder Rituals—With a Discussion About the Characteristics of Leifa Internal Alchemy Theory
As the teachings continued to expand within Daoism, Thunder Rituals (Leifa 雷法) inevitably faced the crucial question of how to integrate the newly emphasized thunder element within the traditional Five-Phase system upon its emergence. To address this, Wang Wenqing (王文卿), the founding master of Shenxiao(神霄 Daoism school) Daoism who held a pivotal position in the realm of Thunder Rituals, creatively proposed the theory of “Five Zi Returning to Geng…
Jianpi Qushi Heluo formula ameliorates podocytes injury related with ROS-mediated NLRP3 inflammasome activation in membranous nephropathy by promoting Pink1-dependent mitophagy
Artificial intelligence self-efficacy and attitudes among nursing students
BACKGROUND: The integration of artificial intelligence (AI) in nursing education is crucial for enhancing technological adaptability. However, the relationship between nursing students’ AI self-efficacy, attitudes, and educational level (associate vs. bachelor’s degrees) remains underexplored. Previous studies predominantly rely on linear models, which inadequately capture the complex dynamics of these factors. METHODS: This multicenter, cross-se…
AI-driven transformation of precision medicine
Objectives: This study aims to elucidate the pivotal role of Artificial Intelligence (AI) in driving the transformation of precision medicine, comprehensively analyzing how it reshapes healthcare systems from traditional diagnosis and treatment paradigms into personalized health management ecosystems. Methods: A comprehensive narrative review was conducted to systematically synthesize and critically evaluate the innovative applications, paradigm …
AI literacy and attitudes among maternal and child health nurses
Background: The successful integration of Artificial Intelligence (AI) in healthcare depends heavily on the literacy and attitudes of the frontline nursing workforce. While psychological barriers like "AI fear" are known, the complex interplay between literacy and attitudes across different levels of expertise remains poorly understood from a systemic perspective. Objective: This study aimed to utilize psychological network analysis (PNA) to map …
AI literacy as a potential mediator between attitude and self-efficacy among Picu nurses
Background Artificial intelligence (AI) is reshaping the healthcare landscape, particularly in high-stakes settings like pediatric intensive care units (PICU). While AI holds potential to enhance clinical care, its integration into nursing practice may depend on nurses’ attitudes, literacy, and self-efficacy regarding AI. However, the relationships among these constructs—and whether AI literacy plays an indirect role in the attitude–self-efficacy…
Unveiling age-differentiated pathways
Background: Enhancing the quality of life (QoL) of breast cancer survivors is a key public health priority. Spiritual well-being (SpWB) is recognized as a correlate, but its systemic role in connecting different life domains and how this varies by age remain unclear, hindering the generation of hypotheses for tailored support programs. Methods: We conducted a cross-sectional study of 302 breast cancer patients (stages I-III) in active treatment. …
Artificial Intelligence in Healthcare and Education (5 obras) · Health care (5 obras) · Medicine (4 obras) · China (3 obras) · Health literacy (3 obras) · Literacy (3 obras) · Public health (3 obras) · Simulation-Based Education in Healthcare (3 obras) · AI in Service Interactions (2 obras) · Disease (2 obras)