AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can expand the Abstract, Links and BibTex record for each paper.
2024
Salloum, A.; Alfaisal, R.; Salloum, S. A.
Revolutionizing Medical Education: Empowering Learning with ChatGPT Book Section
In: Studies in Big Data, vol. 144, pp. 79–90, Springer Science and Business Media Deutschland GmbH, 2024, ISBN: 21976503 (ISSN).
Abstract | Links | BibTeX | Tags: Abstracting, AI integration, ChatGPT, Education, Human like, Interactivity, Language Model, Learning platform, Learning platforms, Medical education, Metaverse, Metaverses, Paradigm shifts, Personalizations, Technological advancement
@incollection{salloum_revolutionizing_2024,
title = {Revolutionizing Medical Education: Empowering Learning with ChatGPT},
author = {A. Salloum and R. Alfaisal and S. A. Salloum},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191302844&doi=10.1007%2f978-3-031-52280-2_6&partnerID=40&md5=a5325b8e43460906174a3c7a2c383e1a},
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isbn = {21976503 (ISSN)},
year = {2024},
date = {2024-01-01},
booktitle = {Studies in Big Data},
volume = {144},
pages = {79–90},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {The landscape of medical education is undergoing a paradigm shift driven by technological advancements. This abstract explores the potential of ChatGPT, an advanced AI language model developed by OpenAI, in revolutionizing medical education. ChatGPT’s capacity to understand and generate human-like text opens doors to interactive, personalized, and adaptive learning experiences that address the evolving demands of medical training. Medical education traditionally relies on didactic approaches that often lack interactivity and personalization. ChatGPT addresses this limitation by introducing a conversational AI-driven dimension to medical learning. Learners can engage with ChatGPT in natural language, seeking explanations, asking questions, and clarifying doubts. This adaptive interactivity mirrors the dynamic nature of medical practice and fosters critical thinking skills essential for medical professionals. Furthermore, ChatGPT augments educators’ roles by assisting in content creation, formative assessments, and immediate feedback delivery. This empowers educators to focus on higher-order facilitation and mentorship, enriching the learning journey. However, responsible integration of ChatGPT into medical education demands careful curation of accurate medical content and validation against trusted sources. Ethical considerations related to AI-generated content and potential biases also warrant attention. This abstract underscores the transformative potential of ChatGPT in reshaping medical education. By creating an environment of engagement, adaptability, and personalization, ChatGPT paves the way for a dynamic and empowered medical learning ecosystem that aligns with the demands of modern healthcare. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.},
keywords = {Abstracting, AI integration, ChatGPT, Education, Human like, Interactivity, Language Model, Learning platform, Learning platforms, Medical education, Metaverse, Metaverses, Paradigm shifts, Personalizations, Technological advancement},
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The landscape of medical education is undergoing a paradigm shift driven by technological advancements. This abstract explores the potential of ChatGPT, an advanced AI language model developed by OpenAI, in revolutionizing medical education. ChatGPT’s capacity to understand and generate human-like text opens doors to interactive, personalized, and adaptive learning experiences that address the evolving demands of medical training. Medical education traditionally relies on didactic approaches that often lack interactivity and personalization. ChatGPT addresses this limitation by introducing a conversational AI-driven dimension to medical learning. Learners can engage with ChatGPT in natural language, seeking explanations, asking questions, and clarifying doubts. This adaptive interactivity mirrors the dynamic nature of medical practice and fosters critical thinking skills essential for medical professionals. Furthermore, ChatGPT augments educators’ roles by assisting in content creation, formative assessments, and immediate feedback delivery. This empowers educators to focus on higher-order facilitation and mentorship, enriching the learning journey. However, responsible integration of ChatGPT into medical education demands careful curation of accurate medical content and validation against trusted sources. Ethical considerations related to AI-generated content and potential biases also warrant attention. This abstract underscores the transformative potential of ChatGPT in reshaping medical education. By creating an environment of engagement, adaptability, and personalization, ChatGPT paves the way for a dynamic and empowered medical learning ecosystem that aligns with the demands of modern healthcare. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Saddik, A. E.; Ghaboura, S.
The Integration of ChatGPT With the Metaverse for Medical Consultations Journal Article
In: IEEE Consumer Electronics Magazine, vol. 13, no. 3, pp. 6–15, 2024, ISSN: 21622248 (ISSN).
Abstract | Links | BibTeX | Tags: Chatbots, Computational Linguistics, Cutting edges, Diagnosis, Health care, Healthcare delivery, Healthcare environments, Human like, Immersive, Language Model, Medical diagnostic imaging, Medical Imaging, Medical services, Metaverses
@article{saddik_integration_2024,
title = {The Integration of ChatGPT With the Metaverse for Medical Consultations},
author = {A. E. Saddik and S. Ghaboura},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174844304&doi=10.1109%2fMCE.2023.3324978&partnerID=40&md5=ce0da4988d06258a1bc695e2d4ac4677},
doi = {10.1109/MCE.2023.3324978},
issn = {21622248 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {IEEE Consumer Electronics Magazine},
volume = {13},
number = {3},
pages = {6–15},
abstract = {Recent years witnessed a promising synergy between healthcare and the Metaverse leading to the development of virtual healthcare environments. This convergence offers accessible and immersive healthcare experiences and holds the potential for transforming the delivery of medical services and enhancing patient outcomes. However, the reliance on specialist presence in the metaverse for medical support remains a challenge. On the other hand, the newly launched large language model chatbot, the ChatGPT of OpenAI, has emerged as a game-changer, providing human-like responses and facilitating interactive conversations. By integrating this cutting-edge language model with the Metaverse for medical purposes, we can potentially revolutionize healthcare delivery, enhance access to care, and increase patient engagement. This study proposes a new medical Metaverse model utilizing GPT-4 as a content creator, highlighting its potential, addressing challenges and limitations, and exploring various application fields. We conclude by outlining our ongoing efforts to transform this concept into a practical reality. © 2012 IEEE.},
keywords = {Chatbots, Computational Linguistics, Cutting edges, Diagnosis, Health care, Healthcare delivery, Healthcare environments, Human like, Immersive, Language Model, Medical diagnostic imaging, Medical Imaging, Medical services, Metaverses},
pubstate = {published},
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Recent years witnessed a promising synergy between healthcare and the Metaverse leading to the development of virtual healthcare environments. This convergence offers accessible and immersive healthcare experiences and holds the potential for transforming the delivery of medical services and enhancing patient outcomes. However, the reliance on specialist presence in the metaverse for medical support remains a challenge. On the other hand, the newly launched large language model chatbot, the ChatGPT of OpenAI, has emerged as a game-changer, providing human-like responses and facilitating interactive conversations. By integrating this cutting-edge language model with the Metaverse for medical purposes, we can potentially revolutionize healthcare delivery, enhance access to care, and increase patient engagement. This study proposes a new medical Metaverse model utilizing GPT-4 as a content creator, highlighting its potential, addressing challenges and limitations, and exploring various application fields. We conclude by outlining our ongoing efforts to transform this concept into a practical reality. © 2012 IEEE.
Xu, F.; Nguyen, T.; Du, J.
Augmented Reality for Maintenance Tasks with ChatGPT for Automated Text-To-Action Journal Article
In: Journal of Construction Engineering and Management, vol. 150, no. 4, 2024, ISSN: 07339364 (ISSN).
Abstract | Links | BibTeX | Tags: Artificial intelligence systems, Augmented Reality, Augmented Reality (AR), ChatGPT, Complex sequences, Computational Linguistics, Diverse fields, Human like, Language Model, Maintenance, Maintenance tasks, Operations and maintenance, Optical character recognition, Sensor technologies, Virtual Reality
@article{xu_augmented_2024,
title = {Augmented Reality for Maintenance Tasks with ChatGPT for Automated Text-To-Action},
author = {F. Xu and T. Nguyen and J. Du},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183669638&doi=10.1061%2fJCEMD4.COENG-14142&partnerID=40&md5=6b02d2f4f6e74a8152adf2eb30ee2d88},
doi = {10.1061/JCEMD4.COENG-14142},
issn = {07339364 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {Journal of Construction Engineering and Management},
volume = {150},
number = {4},
abstract = {Advancements in sensor technology, artificial intelligence (AI), and augmented reality (AR) have unlocked opportunities across various domains. AR and large language models like GPT have witnessed substantial progress and increasingly are being employed in diverse fields. One such promising application is in operations and maintenance (OM). OM tasks often involve complex procedures and sequences that can be challenging to memorize and execute correctly, particularly for novices or in high-stress situations. By combining the advantages of superimposing virtual objects onto the physical world and generating human-like text using GPT, we can revolutionize OM operations. This study introduces a system that combines AR, optical character recognition (OCR), and the GPT language model to optimize user performance while offering trustworthy interactions and alleviating workload in OM tasks. This system provides an interactive virtual environment controlled by the Unity game engine, facilitating a seamless interaction between virtual and physical realities. A case study (N=30) was conducted to illustrate the findings and answer the research questions. The Multidimensional Measurement of Trust (MDMT) was applied to understand the complexity of trust engagement with such a human-like system. The results indicate that users can complete similarly challenging tasks in less time using our proposed AR and AI system. Moreover, the collected data also suggest a reduction in cognitive load when executing the same operations using the AR and AI system. A divergence of trust was observed concerning capability and ethical dimensions. © 2024 American Society of Civil Engineers.},
keywords = {Artificial intelligence systems, Augmented Reality, Augmented Reality (AR), ChatGPT, Complex sequences, Computational Linguistics, Diverse fields, Human like, Language Model, Maintenance, Maintenance tasks, Operations and maintenance, Optical character recognition, Sensor technologies, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Advancements in sensor technology, artificial intelligence (AI), and augmented reality (AR) have unlocked opportunities across various domains. AR and large language models like GPT have witnessed substantial progress and increasingly are being employed in diverse fields. One such promising application is in operations and maintenance (OM). OM tasks often involve complex procedures and sequences that can be challenging to memorize and execute correctly, particularly for novices or in high-stress situations. By combining the advantages of superimposing virtual objects onto the physical world and generating human-like text using GPT, we can revolutionize OM operations. This study introduces a system that combines AR, optical character recognition (OCR), and the GPT language model to optimize user performance while offering trustworthy interactions and alleviating workload in OM tasks. This system provides an interactive virtual environment controlled by the Unity game engine, facilitating a seamless interaction between virtual and physical realities. A case study (N=30) was conducted to illustrate the findings and answer the research questions. The Multidimensional Measurement of Trust (MDMT) was applied to understand the complexity of trust engagement with such a human-like system. The results indicate that users can complete similarly challenging tasks in less time using our proposed AR and AI system. Moreover, the collected data also suggest a reduction in cognitive load when executing the same operations using the AR and AI system. A divergence of trust was observed concerning capability and ethical dimensions. © 2024 American Society of Civil Engineers.