Publications by authors named "Zoe Calulo Rivera"
Muscle ultrasound has high utility in clinical practice and research; however, the main challenges are the training and time required for manual analysis to achieve objective quantification of muscle size and quality. We aimed to develop and validate a software tool powered by artificial intelligence (AI) by measuring its consistency and comparability of expert manual analysis quantifying lower limb muscle ultrasound images. Quadriceps complex (QC) and tibialis anterior (TA) muscle images of healthy, intensive care unit, and/or lung cancer participants were captured with portable devices.
View Article and Find Full Text PDFBackground: Patients undergoing surgery for lung cancer experience significant symptom burden and physical impairments. Exercise rehabilitation programmes have been shown to improve symptoms and aid recovery, however, implementation into routine practice has proven challenging.
Objective: To develop a robust understanding of the key design requirements of an exercise-based pre- and post-operative rehabilitation prototype intervention designed to support patients with operable lung cancer prepare for and recover from thoracic surgery, and co-design an acceptable intervention prototype with key stakeholders.
Article Synopsis
- Patients who survive critical illness may experience long-term physical problems associated with Post Intensive Care Syndrome, affecting their quality of life and daily activities.
- Although there is potential for recovery, patient characteristics and illness factors can predict physical function outcomes, guiding intervention strategies.
- Early screening and ongoing assessment of physical impairments after leaving the ICU is crucial for developing personalized treatment plans to support recovery.*
Objective This study aimed to evaluate the feasibility of a workplace-delivered outpatient multidisciplinary service (ReCOV) for staff experiencing post COVID-19 condition ('Long COVID'). Methods A mixed-methods study of staff at a large, tertiary hospital with Long COVID who attended the service was conducted. Participants completed questionnaires to determine baseline symptoms and were offered allied health appointments for up to 12weeks each based on clinical indication.
View Article and Find Full Text PDFIntroduction/aims: Muscle ultrasound has high utility in clinical practice and research; however, the main challenges are the training and time required for manual analysis to achieve objective quantification of morphometry. This study aimed to develop and validate a software tool powered by artificial intelligence (AI) by measuring its consistency and predictability of expert manual analysis quantifying lower limb muscle ultrasound images across healthy, acute, and chronic illness subjects.
Methods: Quadriceps complex (QC [rectus femoris and vastus intermedius]) and tibialis anterior (TA) muscle ultrasound images of healthy, intensive care unit, and/or lung cancer subjects were captured with portable devices.