Publications by authors named "C V Morr"
Artificial intelligence (AI) can enhance life experiences and present challenges for people with disabilities. This study aims to investigate the relationship between AI and disability, exploring the potential benefits and challenges of using AI for people with disabilities. A systematic scoping review was conducted using eight online databases; 45 scholarly articles from the last 5 years were identified and selected for thematic analysis.
View Article and Find Full Text PDFExploring the Intersection of AI and Inclusive Design for People with Disabilities.
Stud Health Technol Inform
August 2024
This scoping review examines current research on AI for inclusive design for people with disabilities. We identified both advantages and challenges of AI-based solutions and suggested future research directions. Our search of four online databases for studies from the last five years revealed promising AI applications in education, daily living, home environments, workplaces, and healthcare.
View Article and Find Full Text PDFArticle Synopsis
- Timely detection of disease outbreaks is vital for public health, and AI can help identify patterns that indicate the start of epidemics and pandemics.
- A scoping review analyzed 33 studies from the past 5 years on AI's effectiveness in early warning systems (EWS), revealing that AI can speed up and improve epidemic detection.
- However, challenges such as data quality, bias, and the need for model transparency must be resolved for AI-based EWS to be reliable and applicable in different settings moving forward.
The globe has recently seen several terrifying pandemics and outbreaks, underlining the ongoing danger presented by infectious microorganisms. This literature review aims to explore the wide range of infections that have the potential to lead to pandemics in the present and the future and pave the way to the conception of epidemic early warning systems. A systematic review was carried out to identify and compile data on infectious agents known to cause pandemics and those that pose future concerns.
View Article and Find Full Text PDFObjectives: University students are regarded as the backbone of society, and their mental health during a pandemic may have a substantial impact on their performance and life outcomes. The purpose of this study was to assess university students' mental health, specifically depression, anxiety, and stress, during Lebanon's extended COVID-19 pandemic, as well as the sociodemographic factors and lifestyle practices associated with it.
Methods: An online anonymous survey assessed the rates of mental health problems during COVID-19, controlling for socio-demographics and other lifestyle practices, in 329 undergraduate and graduate university students.