Individuals living in rural areas report poorer health outcomes, including obesity, compared to individuals living in urban areas. Amongst others, this is due to restricted access to opportunities for healthy eating and physical activity. Interventions are urgently needed to address this gap.
View Article and Find Full Text PDFObjective: Automatic segmentation and detection of vestibular schwannoma (VS) in MRI by deep learning is an upcoming topic. However, deep learning faces generalization challenges due to tumor variability even though measurements and segmentation of VS are essential for growth monitoring and treatment planning. Therefore, we introduce a novel model combining two Convolutional Neural Network (CNN) models for the detection of VS by deep learning aiming to improve performance of automatic segmentation.
View Article and Find Full Text PDFLimited evidence exists that serves to guide the field of practice and research pertaining to the long-term issues and needs of adults with spina bifida. Understanding the lived experience of adults with spina bifida has lagged behind considerably resulting in limited evidence-based guidance for individuals with spina bifida and their families and the health care professionals who provide services to this population. Given the paucity of knowledge of the lived experience as it pertains to adulthood, this scoping review was undertaken.
View Article and Find Full Text PDFBackground: Limited knowledge exists as to the supports and services young people with IDD and co-occurring mental health conditions need to transition to adult-focused health care and adulthood.
Methods: The survey findings presented were part of a larger investigation that explored these service and supports needs obtained from 144 respondents. Data reported for this investigation were obtained from 144 respondents who answered the question, "What do you think would be most helpful to assist young people with IDD and mental health conditions with the transition from child to adult health care (not including mental health care)?"Qualitative analysis based upon the social-ecological model was undertaken.