A Digital Twin Framework for Real-Time Healthcare Monitoring: Leveraging AI and Secure Systems for Enhanced Patient Outcomes DOI Creative Commons
Ahmed K. Jameil, H. S. Al‐Raweshidy

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

Abstract Digital Twin (DT) technology in healthcare is relatively new and faces several challenges, e.g., real-time data processing, secure system integration, robust cybersecurity. Despite the growing demand for monitoring frameworks, further improvements remain possible. In this study, an architecture has been introduced that utilises cloud computing to create a DT ecosystem. A group of 20 participants monitored continuously using high-speed track key physiological parameters, i.e., diabetes risk factors, heart rate (HR), oxygen saturation (SpO2) levels, body temperature (BT). The model functions as tool, storing both sensor historical records, effectively identify health risks anomalies. An MLP was combined with XGBoost, resulting 25% reduction training time 33% testing time. demonstrated reliability accuracy 98.9% achieved 95.4%, alongside F1 score 0.984. Meticulous attention paid cybersecurity measures, ensuring integrity through end-to-end encryption compliance regulations. incorporation AI within sector seen having potential overcome existing limitations systems, while workloads are relieved data-driven diagnostics decision-making processes improved, enhanced patient predictive analysis

Language: Английский

Integrating the Internet of Things (IoT) in SPA Medicine: Innovations and Challenges in Digital Wellness DOI Creative Commons
Mario Casillo, Liliana Cecere, Francesco Colace

et al.

Computers, Journal Year: 2024, Volume and Issue: 13(3), P. 67 - 67

Published: March 6, 2024

Integrating modern and innovative technologies such as the Internet of Things (IoT) Machine Learning (ML) presents new opportunities in healthcare, especially medical spa therapies. Once considered palliative, these therapies conducted using mineral/thermal water are now recognized a targeted specific therapeutic modality. The peculiarity treatments lies their simplicity administration, which allows for prolonged treatments, often lasting weeks, with progressive controlled effects. Thanks to technologies, it will be possible continuously monitor patient, both on-site remotely, increasing effectiveness treatment. In this context, wearable devices, smartwatches, facilitate non-invasive monitoring vital signs by collecting precise data on several key parameters, heart rate or blood oxygenation level, providing perspective detailed treatment progress. constant acquisition thanks IoT, combined advanced analytics ML collection analysis, allowing real-time personalized adaptation. This article introduces an IoT-based framework integrated techniques tailored customer management more effective results. A preliminary experimentation phase was designed implemented evaluate system’s performance through evaluation questionnaires. Encouraging results have shown that approach can enhance highlight value significant contribution healthcare.

Language: Английский

Citations

21
A digital twin framework for real-time healthcare monitoring: leveraging AI and secure systems for enhanced patient outcomes DOI Creative Commons
Ahmed K. Jameil, H. S. Al‐Raweshidy

Discover Internet of Things, Journal Year: 2025, Volume and Issue: 5(1)

Published: April 9, 2025

Language: Английский

Citations

1
The Next Generation of Health Monitoring DOI
Wasswa Shafik

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 69 - 106

Published: March 28, 2025

Digital twins and medical wearables are revolutionizing healthcare by enabling personalized, real-time monitoring predictive insights. twins, virtual replicas of patients, integrate data from to simulate health conditions, predict outcomes, optimize treatments. Medical such as smartwatches, biosensors, fitness trackers collect continuous data, providing insights into vital signs, activity levels, chronic disease management. Together, they enhance remote patient monitoring, support AI-driven diagnostics, facilitate early detection anomalies. This synergy accelerates precision medicine, improves empowers proactive healthcare, marking a transformative leap in innovation.

Language: Английский

Citations

0
Multi-Server user Authentication Scheme for Privacy Preservation with Fuzzy Commitment DOI Open Access

Stanley Mlato,

Yesaya Gabriel,

Prince Chirwa

et al.

International journal of Computer Networks & Communications, Journal Year: 2024, Volume and Issue: 16(2), P. 87 - 106

Published: March 29, 2024

The integration of artificial intelligence technology with a scalable Internet Things (IoT) platform facilitates diverse smart communication services, allowing remote users to access services from anywhere at any time. multi-server environment within IoT introduces flexible security service model, enabling interact server through single registration. To ensure secure and privacy preservation for resources, an authentication scheme is essential. Zhao et al. recently introduced user the environment, utilizing passwords cards, claiming resilience against well-known attacks. This paper conducts cryptanalysis on al.'s scheme, focusing denial attacks, revealing lack user-friendliness. Subsequently, we propose new fuzzy commitment over addressing shortcomings scheme. Formal verification proposed conducted using ProVerif simulation tool. Through both formal informal analyses, demonstrate that resilient various known attacks those identified in

Language: Английский

Citations

1
Stochastic Game Network-inspired intelligent framework for quality assessment in logistic industry DOI
Abdullah Aljumah, Tariq Ahamed Ahanger, Imdad Ullah

et al.

Internet of Things, Journal Year: 2024, Volume and Issue: 26, P. 101205 - 101205

Published: April 30, 2024

Language: Английский

Citations

1
Internet of things-based secure architecture to automate industry DOI
Abdullah Aljumah, Tariq Ahamed Ahanger, Imdad Ullah

et al.

Cluster Computing, Journal Year: 2024, Volume and Issue: 27(8), P. 11103 - 11118

Published: May 16, 2024

Language: Английский

Citations

1
Smart monitoring solution for dengue infection control: A digital twin-inspired approach DOI
Ankush Manocha, Munish Bhatia, Gulshan Kumar

et al.

Computer Methods and Programs in Biomedicine, Journal Year: 2024, Volume and Issue: 257, P. 108459 - 108459

Published: Oct. 10, 2024

Language: Английский

Citations

1
A Digital Twin Framework for Real-Time Healthcare Monitoring: Leveraging AI and Secure Systems for Enhanced Patient Outcomes DOI Creative Commons
Ahmed K. Jameil, H. S. Al‐Raweshidy

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

Abstract Digital Twin (DT) technology in healthcare is relatively new and faces several challenges, e.g., real-time data processing, secure system integration, robust cybersecurity. Despite the growing demand for monitoring frameworks, further improvements remain possible. In this study, an architecture has been introduced that utilises cloud computing to create a DT ecosystem. A group of 20 participants monitored continuously using high-speed track key physiological parameters, i.e., diabetes risk factors, heart rate (HR), oxygen saturation (SpO2) levels, body temperature (BT). The model functions as tool, storing both sensor historical records, effectively identify health risks anomalies. An MLP was combined with XGBoost, resulting 25% reduction training time 33% testing time. demonstrated reliability accuracy 98.9% achieved 95.4%, alongside F1 score 0.984. Meticulous attention paid cybersecurity measures, ensuring integrity through end-to-end encryption compliance regulations. incorporation AI within sector seen having potential overcome existing limitations systems, while workloads are relieved data-driven diagnostics decision-making processes improved, enhanced patient predictive analysis

Language: Английский

Citations

0