Publications by authors named "Gioulekas F"

Across European countries, the SHAPES Project is piloting AI-based technologies that could improve healthcare delivery for older people over 60 years old. This article aims to present a study developed inside the SHAPES Project to find a theoretical framework focused on AI-assisted technology in healthcare for older people living in the home, to assess the SHAPES AI-based technologies using the ALTAI tool, and to derive ethical recommendations regarding AI-based technologies for ageing and healthcare. The study has highlighted concerns and reservations about AI-based technologies, namely dealing with living at home, mobility, accessibility, data exchange procedures in cross-board cases, interoperability, and security.

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Edge artificial intelligence (EDGE-AI) refers to the execution of artificial intelligence algorithms on hardware devices while processing sensor data/signals in order to extract information and identify patterns, without utilizing the cloud. In the field of predictive maintenance for industrial applications, EDGE-AI systems can provide operational state recognition for machines and production chains, almost in real time. This work presents two methodological approaches for the detection of the operational states of a DC motor, based on sound data.

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The objective of this study was to evaluate the potential of a tailored health promotion and vaccination campaign conducted by a Local Primary Health Care Unit (LPHCU), in increasing children's immunization uptake of vulnerable social groups. The LPHCU of Ampelokipi, Larissa, Greece conducted an immunization campaign in accordance with the National Vaccination Program within a Roma settlement of Larissa, a population of approximately 4500 people, including 1500 children aged 2 months to 16 years. To ensure community engagement, the settlement's Roma mediator and the associated Medical Social Centre participated in the design and implementation of the campaign, facilitating coherent and precise communications about the campaign goals and methods.

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The exponential growth in the aging population challenges the Primary Care Providers (PCPs) who provide health care services to older adults who are considered highly vulnerable and are in need of specialized healthcare services. The development of new policies and the adoption of appropriate health strategies by PCPs may improve the early detection and prevention of mental disorders in older adults. This reduces both queuing and costs in outpatient clinics while preventing stigma for patients and families.

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Recent studies report that cybersecurity breaches noticed in hospitals are associated with low levels of personnel's cybersecurity awareness. This work aims to assess the cybersecurity culture in healthcare institutions from middle- to low-income EU countries. The evaluation process was designed and performed via anonymous online surveys targeting individually ICT (internet and communication technology) departments and healthcare professionals.

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The coronavirus pandemic led to an unprecedented crisis affecting all aspects of the concurrent reality. Its consequences vary from political and societal to technical and economic. These side effects provided fertile ground for a noticeable cyber-crime increase targeting critical infrastructures and, more specifically, the health sector; the domain suffering the most during the pandemic.

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Background The accurate knowledge of secular trends in prevalence, characteristics and outcomes of patients with ischemic stroke and atrial fibrillation allows better projections into the future. Aim We aimed to report the overall, age- and sex-specific secular trends of characteristics and outcomes of patients with acute ischemic stroke (AIS) and atrial fibrillation between 1993 and 2012 in the Athens Stroke Registry. Methods We used Joinpoint regression analysis to calculate the average annual percent changes and 95% confidence intervals.

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Objective: To investigate whether the correlation of age and sex with the risk of recurrence and death seen in patients with previous ischemic stroke is also evident in patients with embolic stroke of undetermined source (ESUS).

Methods: We pooled datasets of 11 stroke registries from Europe and America. ESUS was defined according to the Cryptogenic Stroke/ESUS International Working Group.

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Background And Purpose: ASTRAL, SEDAN and DRAGON scores are three well-validated scores for stroke outcome prediction. Whether these scores predict stroke outcome more accurately compared with physicians interested in stroke was investigated.

Methods: Physicians interested in stroke were invited to an online anonymous survey to provide outcome estimates in randomly allocated structured scenarios of recent real-life stroke patients.

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Background: Although stroke is the fourth cause of death in Western societies, public stroke awareness remains suboptimal. The aim of this study was to estimate stroke risk perception and stroke awareness in Greece through a cross-sectional telephone survey.

Methods: A trained interview team conducted this cross-sectional telephone survey between February and April 2014 using an online structured questionnaire.

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