The growing popularity of smart beds and devices for remote healthcare monitoring is based on advances in artificial intelligence (AI) applications. This systematic review aims to evaluate and synthesize the growing literature on the use of machine learning (ML) techniques to characterize patient in-bed movements and bedsore development. This review is conducted according to the principles of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and is registered in the International Prospective Register of Systematic Reviews (PROSPERO CRD42022314329). The search was performed through nine scientific databases. The review included 78 articles, including 142 ML models. The applied ML models revealed significant heterogeneity in the various methodologies used to identify and classify patient behaviors and postures. The assortment of ML models encompassed artificial neural networks, deep learning architectures, and multimodal sensor integration approaches. This review shows that the models for analyzing and interpreting in-bed movements perform well in experimental settings. Large-scale real-life studies are lacking in diverse patient populations.

The fundamental role of vision during development and the nurturing role of early intersubjectivity have enabled the Robert Hollman Foundation to develop an early intervention program providing holistic support to visually impaired children and their families, where fostering parent-infant interactions is at the heart of our care. The aim of this study is to understand how parents perceive this approach. It is an eleven-year retrospective study of children following the Robert Hollman Foundation’s early intervention program, in which parents’ (n = 1086) perceptions of quality of care were measured through the administration of a specifically designed 4-point scale questionnaire. Annual longitudinal trends of parents’ perceptions were calculated for every single response. Parents reported a very high satisfaction value in 21/23 questions (Mean > 3.7 out of a maximum score of 4, with the highest scores in human and soft skills of professionals) with a statistically positive trend (p < 0.05), throughout the period considered. Our core approach, based on an individualized nurturing relational support, has been appreciated and confirmed by the high satisfaction reported in the questionnaires by parents of children with visual impairment. We therefore hypothesize that parent-infant relationship-based and individualized approaches may help parents achieve better health, well-being, and quality of daily life for their children.

Accessibility of cities involves designing spaces and services to enable everyone to live independently and fully participate in urban life. This study aims to gather the perspectives of individuals with visual impairment on the accessibility of everyday environments in Padua, a midsize urban centre in Northeastern Italy. A total of 204 participants with visual impairment completed an online survey designed to meet accessibility standards, including adjustable text size, audio descriptions, and screen readers compatibility. Findings show that 70% of respondents frequently experience physical and social barriers in local services and transport; 61% in health services; 58% in commerce; 41% in sports; and 38% in both cultural and educational settings. Thematic analysis of open-ended responses further identified specific barriers, which reflected both physical and social dimensions. Social barriers, alongside physical ones, should be a primary focus in evaluating the accessibility of urban environments and in planning subsequent interventions.