health domain
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Author(s):  
Dana Oniga ◽  
Barbara Cantalupo ◽  
Enzo Tartaglione ◽  
Daniele Perlo ◽  
Marco Grangetto ◽  
...  

2021 ◽  
Author(s):  
Lucas Daniel Barboza ◽  
Rodrigo V. Andreão ◽  
Jordano R. Celestrini ◽  
Celso A. Santos ◽  
Rafael Pereira

2021 ◽  
Vol 10 (04) ◽  
pp. 1-10
Author(s):  
Zayneb Mannai ◽  
Anis Kalboussi ◽  
Ahmed Hadj Kacem

A large number of annotation systems in e-health domain have been implemented in the literature. Several factors distinguish these systems from one another. In fact, each of these systems is based on a separate paradigm, resulting in a disorganized and unstructured vision. As part of our research, we attempted to categorize them based on the functionalities provided by each system, and we also proposed a model of annotations that integrates both the health professional and the patient in the process of annotating the medical file.


Healthcare ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1653
Author(s):  
Daniele Giansanti ◽  
Rosario Alfio Gulino

Care robots represent an opportunity for the health domain. The use of these robots has important implications. They can be used in surgery, rehabilitation, assistance, therapy, and other medical fields. Therefore, care robots (CR)s, have both important physical and psychological implications during their use. Furthermore, these devices, meet important data in clinical applications. These data must be protected. Therefore, cybersecurity (CS) has become a crucial characteristic that concerns all the involved actors. The study investigated the collocation of CRs in the context of CS studies in the health domain. Problems and peculiarities of these devices, with reference to the CS, were faced, investigating in different scientific databases. Highlights, ranging also from ethics implications up to the regulatory legal framework (ensuring safety and cybersecurity) have been reported. Models and cyber-attacks applicable on the CRs have been identified.


Healthcare ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1624
Author(s):  
Giovanni Maccioni ◽  
Selene Ruscitto ◽  
Rosario Alfio Gulino ◽  
Daniele Giansanti

Care robots represent an opportunity for the health domain. The use of these devices has important implications. They can be used in surgical operating rooms in important and delicate clinical interventions, in motion, in training-and-simulation, and cognitive and rehabilitation processes. They are involved in continuous processes of evolution in technology and clinical practice. Therefore, the introduction into routine clinical practice is difficult because this needs the stability and the standardization of processes. The agreement tools, in this case, are of primary importance for the clinical acceptance and introduction. The opinion focuses on the Consensus Conference tool and: (a) highlights its potential in the field; (b) explores the state of use; (c) detects the peculiarities and problems (d) expresses ideas on how improve its diffusion.


2021 ◽  
pp. 73-102
Author(s):  
Arun Balodi ◽  
Neha Mangla ◽  
Archana Hombalimath ◽  
H. T. Manjula
Keyword(s):  
Big Data ◽  

Healthcare ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1347
Author(s):  
Maria Rosaria Giovagnoli ◽  
Sara Ciucciarelli ◽  
Livia Castrichella ◽  
Daniele Giansanti

Motivation: This study deals with the introduction of artificial intelligence (AI) in digital pathology (DP). The study starts from the highlights of a companion paper. Objective: The aim was to investigate the consensus and acceptance of the insiders on this issue. Procedure: An electronic survey based on the standardized package Microsoft Forms (Microsoft, Redmond, WA, USA) was proposed to a sample of biomedical laboratory technicians (149 admitted in the study, 76 males, 73 females, mean age 44.2 years). Results: The survey showed no criticality. It highlighted (a) the good perception of the basic training on both groups, and (b) a uniformly low perceived knowledge of AI (as arisen from the graded questions). Expectations, perceived general impact, perceived changes in the work-flow, and worries clearly emerged in the study. Conclusions: The of AI in DP is an unstoppable process, as well as the increase of the digitalization in the health domain. Stakeholders must not look with suspicion towards AI, which can represent an important resource, but should invest in monitoring and consensus training initiatives based also on electronic surveys.


2021 ◽  
Vol 9 ◽  
Author(s):  
Veronica Velasco ◽  
Corrado Celata ◽  
Kenneth W. Griffin ◽  

Typically, schools implement health promotion programs that focus on a single behavioral domain. Multiple related health topics may be addressed using separate interventions, potentially producing overlap in program content. However, integrative approaches in health promotion have the potential to produce interventions capable of improving multiple health behaviors. In particular, more research is needed to identify the conditions and the factors that can promote the transfer of learning to broaden the target outcomes of health promotion programs. The present study aims to identify the characteristics of an evidence-based life skills education program that can facilitate the transfer of learning to different health behaviors not initially targeted by the program, and the strategies for achieving successful transfer. A two round Delphi method was used with a diverse group of 21 experts in health promotion, life skills education, and methods of pedagogy for early adolescent students. Questionnaires with open and closed-ended questions were administered on-line. Content qualitative analysis was run, integrating codes, subcategories, and categories of the two rounds of the study. Results showed strong consensus among experts about the potential for promoting the transfer of skills from one health domain to another. Many elements were identified as important factors that facilitate the transfer of learning. Strategies for successful transfer were related to teaching methods, educational approaches, and consistency with the broader school curriculum. Findings suggest that the successful transfer of learning to a new health domain requires that educators recognize its importance and explicitly designate it as an educational aim.


2021 ◽  
Vol 49 (8) ◽  
pp. 1-10
Author(s):  
Muhammad Kasheer ◽  
Myungwoo Nam

We conducted two studies to investigate the effects of the threat of a contagious disease on people's tendency to engage in risk-taking behaviors that are not directly related to the disease, such as investment decisions. In Study 1 we demonstrated that individual differences in germ aversion influenced risk-taking tendency. Participants with relatively high germ aversion were less likely than were those with relatively low germ aversion to engage in risk-taking behaviors encompassing the ethical, investment, gambling, recreational, health, and social domains. In Study 2 we replicated the results of Study 1 in a different setting and examined the underlying process by which perceived disease threat inhibits risk taking. The findings suggest that the threat of disease-induced negative affect decreased risk-taking tendencies. This implies that precautionary behavior activated by disease-threat salience can extend beyond the health domain to a broader range of situations.


Author(s):  
Kartikey .

Research is based on the current market of mental health apps in the market and will there be a recession or boom in their use. Comparing famous mental health apps available and research about their common features and what features an app should have to get more downloads in the mental health domain. Discussion about mental health policies of India. Research on the mentality of Indians and Americans on mental illness and how both mindsets differ from each other.


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