A5061688763- Topic Modeling
- Mental Health via Writing
- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Artificial Intelligence in Healthcare
- Healthcare Systems and Public Health
- Text Readability and Simplification
- Teaching and Learning Programming
- Sentiment Analysis and Opinion Mining
- AI in cancer detection
- Digital Mental Health Interventions
- Biomedical and Engineering Education
University of British Columbia
2021-2024
Artificial intelligence (AI) is no longer a futuristic concept; it increasingly being integrated into health care. As studies on attitudes toward AI have primarily focused physicians, there need to assess the perspectives of students across care disciplines inform future curriculum development.This study aims explore and identify gaps in knowledge that Canadian regarding AI, capture how different fields differ their present student-identified ways literacy may be incorporated curriculum.The...
Abstract Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours offer an up‐to‐date review of NLP applications by examining their use counselling psychotherapy from 1990 2021. The purpose this scoping is identify trends, advancements, challenges limitations these applications. Among the 41 papers included review, 4 primary purposes were identified: (1) developing automated...
Conversational data is essential in psychology because it can help researchers understand individuals cognitive processes, emotions, and behaviors. Utterance labelling a common strategy for analyzing this type of data. The development NLP algorithms allows to automate task. However, psychological conversational present some challenges researchers, including multilabel classification, large number classes, limited available This study explored how automated labels generated by methods are...
Artificial intelligence (AI) is no longer a futuristic concept; it increasingly integrated into healthcare practice. Many recent commentaries indicated the need to introduce AI literacy training medical curriculum. However, little known about what students want learn AI, and even less from outside of medicine. We performed nation-wide survey across 10 different health professions in Canada. 2167 18 universities Canada responded survey. The majority (80%) predicted that technology will impact...
<sec> <title>BACKGROUND</title> Artificial intelligence (AI) is no longer a futuristic concept; it increasingly being integrated into health care. As studies on attitudes toward AI have primarily focused physicians, there need to assess the perspectives of students across care disciplines inform future curriculum development. </sec> <title>OBJECTIVE</title> This study aims explore and identify gaps in knowledge that Canadian regarding AI, capture how different fields differ their present...