Digital Twin in Healthcare Through the Eyes of the Vitruvian Man

Kleftakis, Spyridon; Mavrogiorgou, Argyro; Mavrogiorgos, Konstantinos; Kiourtis, Athanasios; Kyriazis, Dimosthenis

doi:10.1007/978-981-19-3440-7_7

Cited by 11 publications

(4 citation statements)

References 45 publications

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“…Due to its ability to facilitate decision-making, prediction, and problem-solving, AI is currently a popular trend in a wide range of industries [45,46]. For instance, it has been applied to physics [47], data processing, speech, and image recognition [48], medicine to prevent eye diseases [49], smart cities [50], policy-making, healthcare [52], agriculture [53], learning from the emotional analysis of user reviews on gadgets purchased [54], computational chemistry [55], image recognition [56], language translation [57], and log analysis of student interactions to predict answers to challenging questions [58].…”

Section: Discussionmentioning

confidence: 99%

“…For instance, it has been used in physics [48] and in data processing and speech and image recognition [49], also in medicine to prevent eye diseases [50], smart cities [51], policymaking [52], healthcare [53], agriculture [54], to learn from the emotional analysis of user reviews on gadgets bought [55], in computational chemistry [56], image recognition [57],…”

Section: Ai Recommendation Modelsmentioning

confidence: 99%

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Prototype of a Recommendation Model with Artificial Intelligence for Computational Thinking Improvement of Secondary Education Students

et al. 2023

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There is a growing interest in finding new ways to address the difficult task of introducing programming to secondary students for the first time to improve students’ computational thinking (CT) skills. Therefore, extensive research is required in this field. Worldwide, new ways to address this difficult task have been developed: visual execution environments and approaches by text programming or visual programming are among the most popular. This paper addresses the complex task by using a visual execution environment (VEE) to introduce the first programming concepts that should be covered in any introductory programming course. These concepts include variables, input and output, conditionals, loops, arrays, functions, and files. This study explores two approaches to achieve this goal: visual programming (using Scratch) and text programming (using Java) to improve CT. Additionally, it proposes an AI recommendation model into the VEE to further improve the effectiveness of developing CT among secondary education students. This integrated model combines the capabilities of an AI learning system module and a personalized learning module to better address the task at hand. To pursue this task, an experiment has been carried out among 23 preservice secondary teachers’ students in two universities, one in Madrid, Spain, and the other in Galway, Ireland. The overall results showed a significant improvement in the Scratch group. However, when analyzing the results based on specific programming concepts, significance was observed only in the Scratch group, specifically for the Loop concept.

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Section: Discussionmentioning

confidence: 99%

Section: Ai Recommendation Modelsmentioning

confidence: 99%

Prototype of a Recommendation Model with Artificial Intelligence for Computational Thinking Improvement of Secondary Education Students

et al. 2023

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“…Kleftakis et al [78] describe a fascinating and creative approach to creating an Electronic Health Record using containers. The authors created a digital twin of a patient by dividing parts or organs of the body into containers.…”

Section: Healthcarementioning

confidence: 99%

“…Year Application Area Description EI Level [75] 2023 Federated learning Dynamic FL deployment and learning scheme 4 [76] 2021 Robotics Design methodology for ROS-based applications 4 [77] 2021 Healthcare Readmission prediction system for healthcare facilities 3 [78] 2022 Healthcare Electronic health records decomposing the patient's body into containers - [79] 2021 Virtual assistant Voice control for human-machine interaction 3 [81] 2022 Composite AI Ontology model for development of multi-agent AI systems - [82] 2018 Healthcare Human activity recognition 3 [83] 2021 Security Re-identification of people across multiple cameras 2 [84] 2022 Wildfire modelling A federation architecture to enable a composable infrastructure - [85] 2019 Computer vision Architecture for image processing 3…”

Section: Referencementioning

confidence: 99%

Containerization in Edge Intelligence: A Review

Urblik,

Kajati,

Papcun

et al. 2024

Electronics

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The onset of cloud computing brought with it an adoption of containerization—a lightweight form of virtualization, which provides an easy way of developing and deploying solutions across multiple environments and platforms. This paper describes the current use of containers and complementary technologies in software development and the benefits it brings. Certain applications run into obstacles when deployed on the cloud due to the latency it introduces or the amount of data that needs to be processed. These issues are addressed by edge intelligence. This paper describes edge intelligence, the deployment of artificial intelligence close to the data source, the opportunities it brings, along with some examples of practical applications. We also discuss some of the challenges in the development and deployment of edge intelligence solutions and the possible benefits of applying containerization in edge intelligence.

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