AIMC Topic: Surveys and Questionnaires
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Care Providers' Perspectives on the Design of Assistive Persuasive Behaviors for Socially Assistive Robots.
Journal of the American Medical Directors Association
Jun 13, 2024
OBJECTIVES: The main objectives of this research are (1) to uniquely design assistive behaviors for socially assistive robots using the principles of persuasion from behavioral psychology, and (2) to investigate caregivers' perspectives and opinions ...
Exploring the Use of Natural Language Processing to Understand Emotions of Trainees and Faculty Regarding Entrustable Professional Activity Assessments.
Journal of graduate medical education
Jun 13, 2024
In medical education, artificial intelligence techniques such as natural language processing (NLP) are starting to be used to capture and analyze emotions through written text. To explore the application of NLP techniques to understand resident and...
Evaluating ChatGPT to test its robustness as an interactive information database of radiation oncology and to assess its responses to common queries from radiotherapy patients: A single institution investigation.
Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Jun 12, 2024
PURPOSE: Commercial vendors have created artificial intelligence (AI) tools for use in all aspects of life and medicine, including radiation oncology. AI innovations will likely disrupt workflows in the field of radiation oncology. However, limited d...
Establishing central sensitization inventory cut-off values in Dutch-speaking patients with chronic low back pain by unsupervised machine learning.
Computers in biology and medicine
Jun 10, 2024
BACKGROUND: Human Assumed Central Sensitization (HACS) is involved in the development and maintenance of chronic low back pain (CLBP). The Central Sensitization Inventory (CSI) was developed to evaluate the presence of HACS, with a cut-off value of 4...
Decoding medical educators' perceptions on generative artificial intelligence in medical education.
Journal of investigative medicine : the official publication of the American Federation for Clinical Research
Jun 7, 2024
Generative AI (GenAI) is a disruptive technology likely to generate a major impact on faculty and learners in medical education. This work aims to measure the perception of GenAI among medical educators and to gain insights into its major advantages ...
AI in medical education: the moderating role of the chilling effect and STARA awareness.
BMC medical education
Jun 7, 2024
BACKGROUND: The rapid growth of artificial intelligence (AI) technologies has been driven by the latest advances in computing power. Although, there exists a dearth of research on the application of AI in medical education.
Mental health analysis of international students using machine learning techniques.
PloS one
Jun 6, 2024
International students' mental health has become an increasing concern in recent years, as more students leave their country for better education. They experience a wide range of challenges while studying abroad that have an impact on their psycholog...
Pre-trained language models in medicine: A survey.
Artificial intelligence in medicine
Jun 5, 2024
With the rapid progress in Natural Language Processing (NLP), Pre-trained Language Models (PLM) such as BERT, BioBERT, and ChatGPT have shown great potential in various medical NLP tasks. This paper surveys the cutting-edge achievements in applying P...
Does lifelong learning matter for the subjective wellbeing of the elderly? A machine learning analysis on Singapore data.
PloS one
Jun 5, 2024
Our study explores whether lifelong learning is associated with the subjective wellbeing among the elderly in Singapore. Through a primary survey of 300 individuals aged 65 and above, we develop a novel index to capture three different aspects of sub...
Identifying the risk of depression in a large sample of adolescents: An artificial neural network based on random forest.
Journal of adolescence
Jun 4, 2024
BACKGROUND: This study aims to develop an artificial neural network (ANN) prediction model incorporating random forest (RF) screening ability for predicting the risk of depression in adolescents and identifies key risk factors to provide a new approa...
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