10th International Congress on Information and Communication Technology in concurrent with ICT Excellence Awards (ICICT 2025) will be held at London, United Kingdom | February 18 - 21 2025.
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Authors - Mmapula Rampedi, Funmi Adebesin Abstract - The healthcare sector has generally been reluctant to adopt digital technologies. However, the COVID-19 pandemic pushed the industry to accelerate its digital transformation. Digital twins, a virtual replica of human organs or the entire human body, is revolutionizing healthcare and the management of healthcare resources. Digital twins can improve the accuracy of patients’ diagnoses through access to their virtual replica data. This enables healthcare professionals to make informed decisions about patients’ conditions and treatment options. This paper presents the results of a systematic literature review that investigated how digital twins are being utilized in the healthcare sector. A total of 6,714 papers published between 2019 and April 2024 were retrieved from four databases using specific search terms. A screening process based on inclusion and exclusion criteria resulted in a final set of 34 studies that were analyzed. The qualitative content analysis of the 34 studies resulted in the identification of five themes namely; (i) the technologies that are integrated into digital twins; (ii) the medical specialties where digital twins are being used; (iii) the different application areas of digital twins in healthcare; (iv) the benefits of the application of digital twins in healthcare and; (v) the challenges associated with the use of digital twins in healthcare. The outcome of the study showcased the potential for the adoption of digital twins to revolutionize healthcare service delivery by mapping the medical specialties of use to the different application areas. The study also highlights the benefits and challenges associated with the adoption of digital twins in the healthcare sector.
Authors - Nazli Tokatli, Mucahit Bayram, Hatice Ogur, Yusuf Kilic, Vesile Han, Kutay Can Batur, Halis Altun Abstract - This study aims to create deep learning models for the early identification and classification of brain tumours. Models like U-Net, DAU-Net, DAU-Net 3D, and SGANet have been used to evaluate brain MRI images accurately. Magnetic resonance imaging (MRI) is the most commonly used method in brain tumour diagnosis, but it is a complicated procedure due to the brain’s complex structure. This study looked into the ability of deep learning architectures to increase the accuracy of brain tumour diagnosis. We used the BraTS 2020 dataset to segment and classify brain tumours. The U-Net model designed for the project achieved an accuracy rate of 97% with a loss of 47%, DAU-Net reached 90% accuracy with a loss of 33%, DAU-Net 3D achieved 99% accuracy with a loss of 35%, and SGANet achieved 99% accuracy with a loss of 20%, all demonstrating effective outcomes. These findings aim to improve patient care quality by speeding up medical diagnosis processes using computer-aided technology. Doctors can detect 3D tumours from MRI pictures using software developed as part of the research. The work packages correctly handled project management throughout the study’s data collection, model creation, and evaluation stages. Regarding brain tumour segmentation, 3D U-Net architecture with multi-head attention mechanisms provides doctors with the best tools for planning surgery and giving each patient the best treatment options. The user-friendly Turkish interface enables simple MRI picture uploads and quick, understandable findings.
Authors - Radford Burger, Olawande Daramola Abstract - Clinical Decision Support Systems (CDSS) have the potential to significantly improve healthcare quality in resource-limited settings (RLS). Despite evidence supporting the effectiveness of CDSS, their adoption and implementation rates remain low in RLS due to low levels of computer literacy among health workers, fragmented and unreliable infrastructure, and technical challenges. A thorough understanding of requirements is critical for the design of CDSS, which will be relevant to RLS. This paper explores the elicitation and prioritisation of requirements of a CDSS tailored to gait-related diseases in RLS. To do this, we conducted a qualitative literature analysis to identify potential requirements. After that, the requirements were presented to gait analysis experts for revision and prioritisation using the MoSCoW requirements prioritisation technique. The analysis of the results of the prioritisation process shows that for the functional requirements, 59.1% are fundamental and essential (Must Have), 36.3% are important but not fundamental (Should Have), 4.5% are negotiable requirements that are nice-to-have, but not important or fundamental (Could Have). All the non-functional requirements (100%) that pertain to usability and security were considered fundamental and essential (Must Have). This study provides a solid foundation for understanding the requirements of CDSS that are tailored to gait-related diseases in RLS. It also provides a guide for software developers and re-searchers on the design choices regarding the development of CDSS for RLS.
Authors - Omar Ahmed Abdulkader, Bandar Ali Alrami Al Ghadmi, Muhammad Jawad Ikram Abstract - In an era characterized by escalating digital threats, cybersecurity has emerged as a paramount concern for individuals and organizations globally. Traditional security measures, often reliant on centralized systems, face significant challenges in combating increasingly sophisticated cyberattacks, leading to substantial data breaches, financial losses, and erosion of trust. This paper investigates the transformative potential of blockchain technology as a robust solution to enhance cybersecurity frameworks. By leveraging the core principles of blockchain—decentralization, transparency, and immutability—this study highlights how blockchain can address critical cybersecurity challenges. For instance, the use of blockchain for data integrity ensures that information remains unaltered and verifiable, significantly reducing the risk of tampering. Furthermore, decentralized identity management systems can provide enhanced security against identity theft and phishing attacks, allowing users to maintain control over their personal information. Through a review of current applications and case studies, this paper illustrates successful implementations of blockchain in various sectors, including finance, healthcare, and supply chain management. Notable results include a reported 30% reduction in fraud rates within financial transactions utilizing blockchain technology and a marked improvement in incident response times due to the transparency and traceability offered by blockchain solutions. Despite its promising applications, this paper also addresses existing challenges, such as scalability issues that can hinder transaction speed, regulatory concerns that complicate implementation, and technical complexities that require specialized knowledge. These barriers pose significant obstacles to the widespread adoption of blockchain in cybersecurity. In conclusion, this paper emphasizes the need for further research and development to overcome these challenges and optimize the integration of blockchain within cybersecurity frameworks. By doing so, we can foster a safer digital environment and enhance resilience against the evolving landscape of cyber threats.
Authors - Catia Silva, Nelson Zagalo, Mario Vairinhos Abstract - The preservation of cultural heritage, crucial for maintaining cultural identity, is increasingly threatened by natural degradation and socio-economic changes. Cultural tourism, supported by information and communication technologies, has become a key strategy for sustaining and promoting heritage sites. However, research on the most effective digital elements for amplifying tourist engagement remains limited. To address this gap, the present study explored the use of the Cultural Engagement Digital Model, which integrates participatory activities through game, narrative, and creativity elements, to enhance visitor engagement at cultural sites. The study focused on designing and testing three prototypes for Almeida, a historical village in in Guarda, Portugal, involving both visitors and interaction design experts to evaluate user preferences regarding the proposed activities. The findings of this study indicate that activities aligned with participatory dimensions can effectively engage users. These results help to solidify the model as a valuable instrument for designing mobile applications capable of promoting tourist engagement.
Authors - Juliana Silva, Pedro Reisinho, Rui Raposo, Oscar Ribeiro, Nelson Zagalo Abstract - As global life expectancy rises and the population of older adults in-creases, a higher prevalence of age-related diseases, such as dementia, is being observed. However, dementia-like symptoms are not exclusively caused by neurodegenerative conditions; pseudodementia, associated with late-life depression, can mimic the symptoms of dementia but may be potentially reversible with appropriate interventions. Despite this, individuals with pseudodementia still have a higher risk of progressing to neurodegenerative dementia. To counteract this possibility and aid in symptom reversal, non-pharmacological interventions may be a potential treatment. The present case study explored the feasibility of promoting storytelling through virtual reminiscence therapy in an older adult with pseudodementia, while also assessing the level of technological acceptance. The intervention included two sessions: one using a digital memory album and an-other utilizing 360º videos of personally significant locations. The results support the viability of using virtual reality as a therapeutic instrument to stimulate reminiscence and promote storytelling with a manageable learning curve and without inducing symptoms of cybersickness.
