Introduction: Social robots are accompanied by high expectations of what they can bring to society and in the healthcare sector. So far, promising assumptions have been presented about how and where social robots are most relevant. We know that the industry has used robots for a long time, but what about social uptake outside industry, specifically, in the healthcare sector? This study discusses what trends are discernible, to better understand the gap between technology readiness and adoption of interactive robots in the welfare and health sectors in Europe.
Methods: An assessment of interactive robot applications at the upper levels of the Technology Readiness Level scale is combined with an assessment of adoption potential based on Rogers' theory of diffusion of innovation. Most robot solutions are dedicated to individual rehabilitation or frailty and stress. Fewer solutions are developed for managing welfare services or public healthcare.
Results: The results show that while robots are ready from the technological point of view, most of the applications had a low score for demand according to the stakeholders.
Discussion: To enhance social uptake, a more initiated discussion, and more studies on the connections between technology readiness and adoption and use are suggested. Applications being available to users does not mean they have an advantage over previous solutions. Acceptance of robots is also heavily dependent on the impact of regulations as part of the welfare and healthcare sectors in Europe.
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http://dx.doi.org/10.3389/fpubh.2023.979225 | DOI Listing |
Oper Dent
January 2025
*Kraig S. Vandewalle, DDS, MS, Col (ret), USAF, DC, Air Force Consultant in Dental Research Advanced Education in General Dentistry Residency, AF Postgraduate Dental School, Joint Base San Antonio - Lackland, TX, USA; Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Objective: The purpose of this study was to compare the optical, mechanical, and biological properties of two new, inexpensive lithium disilicate (LS2) materials (Lodden (LOD), LD Medical Technology; and BeautyZir (BZ), BeautyZir Technology) to a clinically established LS2 material (IPS e.max CAD (EMAX), Ivoclar Vivadent).
Methods And Materials: The optical properties of the translucency parameter (TP) and opalescence parameter (OP) were obtained with a dental spectrophotometer.
BMC Med Educ
January 2025
Medical Education Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Aim: This study aims to determine and compare the achieved competencies of graduating nursing students of public and private universities in Iran.
Background: The main responsibility of nursing education is to train nurses who possess the necessary competencies to provide safe and high-quality care. Given that a significant proportion of nursing education in Iran is the responsibility of private universities, it is essential to ensure that nursing graduates acquire the required competencies.
Arch Virol
January 2025
CAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Yueyang Road 320, Shanghai, 200031, China.
To battle seasonal outbreaks of influenza B virus infection, which continue to pose a major threat to world health, new and improved vaccines are urgently needed. In this article, we discuss the current state of next-generation influenza B vaccine development, including both advancements and challenges. This review covers the shortcomings of existing influenza vaccines and stresses the need for more-effective and broadly protective vaccines and more-easily scalable manufacturing processes.
View Article and Find Full Text PDFIn this article, the authors propose a repurposing of the concept of entrustment to help guide the use of artificial intelligence (AI) in health professions education (HPE). Entrustment can help identify and mitigate the risks of incorporating generative AI tools with limited transparency about their accuracy, source material, and disclosure of bias into HPE practice. With AI's growing role in education-related activities, like automated medical school application screening and feedback quality and content appraisal, there is a critical need for a trust-based approach to ensure these technologies are beneficial and safe.
View Article and Find Full Text PDFBMC Psychol
January 2025
Universidad Nacional de Trujillo, Trujillo, Perú.
Background: In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian university students and uses an extended UTAUT2 model to examine various constructs that may impact AI acceptance and use.
Method: This study employed a quantitative approach with a survey-based design.
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