2. Articole

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    Artificial Intelligence for Enhanced Medical Diagnosis: Developing Learning Models for Accurate Patient Diagnosis [Articol]
    (2024) Olariu, Maria-Ecaterina
    This paper explores the integration of Artificial Intelligence (AI) in healthcare, focusing on its applications in medical imaging and diagnosis. It presents a case study evaluating generative AI tools in cardiovascular diagnostics, comparing their performance with expert analysis. The research highlights the potential of AI to augment human expertise in healthcare decision-making. Furthermore, it proposes future work on developing an AI-driven adaptive clinical decision support system based on European Guidelines. This system aims to personalize recommendations for individual practitioners while maintaining adherence to standardized best practices, potentially revolutionizing AI support in medical practice across Europe.
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    The Role of Artificial Intelligence in Inclusive Education [Articol]
    (2024) Gheorghita, Irina
    Inclusion is a process that can practically infinitely increase the level of learning and participation for all students. In fact, inclusion occurs simultaneously with the increase in the degree of participation. An inclusive school is a school in motion [1]. At the level of intention, the Government has demonstrated that it is ready to accept children with special educational needs in schools in the community so that the children can return to their families, but at the level of legislative regulation, much remains to be done. The teachers do not know the methodology of working with these children, they do not know how to grade them, what kind of tests to apply at the end of the school year and if they do, is it legal? Many unanswered questions at the moment, but we hope that in the near future we will find answers to many of them. One of the methods of helping teachers and parents in the education and development of children would be Artificial Intelligence, which would allow working with each child individually
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    Emerging Trends and Computational Approaches in the Application of XR Technologies in Education [Articol]
    (2024) Constantinescu, George-Gabriel
    In the evolving landscape of education, the integration of Extended Reality (XR) technologies: Virtual Reality (VR) and Augmented Reality (AR) is reshaping how students engage with learning content. This paper examines emerging trends and computational approaches in applying XR technologies to education. By leveraging AI-driven algorithms and real-time data processing, XR platforms create personalized, immersive learning environments that enhance student engagement and outcomes. Our findings demonstrate how these technologies are revolutionizing traditional teaching methods, offering new opportunities for interactive and adaptive learning experiences. The study highlights current applications and future potential, showcasing XR’s role in advancing innovative and accessible education.