Tang, Arthur

Global prevalence of burnout symptoms among nurses: a systematic review and meta-analysis

Woo, T., Ho, R., Tang, A., & Tam, W. (2020) · Journal of Psychiatric Research

Occupational Health and BurnoutHealthcare professionals’ stress and burnout

Cited by 866

Nursing education in the age of artificial intelligence powered Chatbots (AI-Chatbots): Are we ready yet?

Tam, W., Huynh, T., Tang, A., Luong, S., Khatri, Y., & Zhou, W. (2023) · Nurse Education Today

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Education

Cited by 221

Epidemic models of contact tracing: systematic review of transmission studies of severe acute respiratory syndrome and Middle East respiratory syndrome

Kwok, K. O., Tang, A., Wei, V. W. I., Park, W. H., Yeoh, E. K., & Riley, S. (2019) · Computational and Structural Biotechnology Journal

Mathematical and Theoretical Epidemiology and Ecology ModelsCOVID-19 epidemiological studies

Cited by 172

The importance of transparency: Declaring the use of generative artificial intelligence ( AI ) in academic writing

Tang, A., Li, K., Kwok, K. O., Cao, L., Luong, S., & Tam, W. (2024) · Journal of Nursing Scholarship

Academic Writing and PublishingAcademic integrity and plagiarism

Cited by 159

Visual narratives in nursing education: a generative artificial intelligence approach

Tran, L. D., Tung, N., Macalinga, E. T., Tang, A., Woo, B., & Tam, W. (2024) · Nurse Education in Practice

Comics and Graphic NarrativesArtificial Intelligence in Healthcare and Education

Cited by 22