A Bibliometric Analysis of Virtual Reality-Aided Vision Therapy.

While Virtual Reality (VR) has gained significant attention in different domains of health care and promises benefits for managing vision disturbances, no bibliometric analysis focuses on its use in vision therapy. This study aims to analyze and visualize the scientific literature indexed in the Web of Science databases by visualizing bibliometric indicators illustrating publication trends from 2001. The findings provide a better understanding of the state-of-the-art of existing vision therapy research utilizing VR.

Technologies supporting vision screening: a protocol for a scoping review.

INTRODUCTION: Vision problems affect academic performance, social and mental health. Most traditional vision screening methods rely on human expert assessments based on a set of vision tests. As technology advances, new instruments and computerised tools are available for complementing vision screening. The scoping review based on this protocol aims to investigate current technologies for vision screening, what vision tests can be complemented by technologies, and how these can support vision screening by providing measurements. METHODS AND ANALYSIS: The planned review will utilise the PRISMA extension for Scoping Reviews (PRISMA-ScR) tool. Electronic search will be performed in databases, including Web of Science, MEDLINE (Ovid), Scopus, Engineering Village, Cochrane and Embase. We will perform a systematic search in selected reference databases without the limitation on publications dates, or country of studies. Reference management software, like EndNote and DistillerSR, will be used to remove duplicate entries. Two authors will independently analyse the studies for inclusion eligibility. Conflicts will be resolved by discussion. We will extract the types of technologies, types of vision tests they complement and the measurements for the included studies. Overall findings will be synthesised by thematic analysis and mapping to the logic model. ETHICS AND DISSEMINATION: Ethical approval is not required for this review, as it will only summarise existing published data. We will publish the findings in an open access, peer-reviewed journal. We expect that the review results will be useful for vision screening experts, developers, researchers, and policymakers.

Design and Development of a Mobile Application Supporting Planning for Future Parents.

Life is changing after recognizing a pregnancy. Then the future parents, who are often healthy individuals, need to change their lifestyles, meet different healthcare institutions, follow new rules, and reschedule their everyday activities. This paper illustrates the design and development of a novel mobile application supporting future parents in planning their activities after recognizing the pregnancy. The focus is on identifying and sharing relevant data between future-parents, healthcare institutions, and the supporting social groups. First, the design and development of the application are sketched, and then we present early evaluation results with major stakeholders: future parents and responsible actors from healthcare institutions, based on data from interviews. The results contribute to increased understanding of developing mobile applications for future parents, considering temporal, situation dependent needs during the pregnancy process, but also after having given birth. To handle temporal and longer-term needs, and provide contextualized information, considering patient-pathways are beneficial.

A fast top-down method for constructing reliable radiation hybrid frameworks.

MOTIVATION: Radiation Hybrid Mapping (RHM) is a technique used to order a set of markers on a genome and estimating physical distances between them. RHM provides information on marker placement independent from other methods such as sequencing, and can therefore be used for example in genome sequencing to help ordering contigs. A radiation hybrid framework can be constructed by choosing a set of markers so that the chromosome coverage is good and so that the markers can be ordered with high confidence. Automatically constructing RHM frameworks is a computationally challenging problem. RESULTS: We have developed a new method for constructing radiation hybrid frameworks. Given a relatively large set of markers for a chromosome, the algorithm aims to select an ordered subset that makes up a framework, and that contains as many markers as possible. The algorithm has a time complexity that is better than any of the existing methods that we are aware of. Furthermore, we propose a method for comparing if two frameworks are consistent, giving a visual presentation as well as quantitative measures of how well the two frameworks agree. Applying our method on marker sets from 22 human chromosomes and comparing the resulting frameworks with previously published frameworks, we demonstrate that our automatic method efficiently constructs frameworks with good coverage of each chromosome and with high degree of agreement on the marker ordering.