Open Access. Powered by Scholars. Published by Universities.®
Psychiatric and Mental Health Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
Articles 1 - 2 of 2
Full-Text Articles in Psychiatric and Mental Health
Reimagining Medical Education In The Age Of Ai, Steven A. Wartman, C. Donald Combs
Reimagining Medical Education In The Age Of Ai, Steven A. Wartman, C. Donald Combs
Computational Modeling & Simulation Engineering Faculty Publications
Available medical knowledge exceeds the organizing capacity of the human mind, yet medical education remains based on information acquisition and application. Complicating this information overload crisis among learners is the fact that physicians' skill sets now must include collaborating with and managing artificial intelligence (AI) applications that aggregate big data, generate diagnostic and treatment recommendations, and assign confidence ratings to those recommendations. Thus, an overhaul of medical school curricula is due and should focus on knowledge management (rather than information acquisition), effective use of AI, improved communication, and empathy cultivation.
The Disparity In Mental Health Between Two Generations Of Internal Migrants (Ims) In China: Evidence From A Nationwide Cross-Sectional Study, Wen Chen, Qi Zhang, Andre M.N. Renzaho, Li Ling
The Disparity In Mental Health Between Two Generations Of Internal Migrants (Ims) In China: Evidence From A Nationwide Cross-Sectional Study, Wen Chen, Qi Zhang, Andre M.N. Renzaho, Li Ling
Community & Environmental Health Faculty Publications
Background: Internal migrants (IMs) are a large, vulnerable population in China and are mostly driven by national economic reform. IMs who were born before and after 1980, when the general social and economic reform began to appear in China, are considered to be two separate generations. The generational differences in mental health across IMs remain undocumented. In this study, the intergenerational disparity in IMs’ mental health, using data from a national cross-sectional study, was assessed. Methods: Cross-sectional data from the “National Internal Migrant Dynamic Monitoring Survey 2014” were used. IMs were divided into the “old” or “new” generation, based on …