Professional Caregiver

Professional caregiver support is a burgeoning research area focusing on improving caregiver efficiency, effectiveness, and well-being through technological advancements. Current research employs machine learning models, including vision transformers (like MViT) and deep learning architectures (like Xception and ResNet50V2), to automate tasks such as workload assessment and even predict caregiver actions. These efforts aim to address caregiver shortages, improve the quality of care, and reduce burnout, impacting both healthcare systems and the lives of those receiving care. Furthermore, research explores the development of AI-assisted tools and language models to enhance communication and training for caregivers, particularly in specialized areas like dementia care and autism support.