Understanding User Behavior for Enhancing Cybersecurity Training with Immersive Gamified Platforms DOI Creative Commons

Nikitha Donekal Chandrashekar,

A. Maughan Lee, Mohamed Azab

et al.

Information, Journal Year: 2024, Volume and Issue: 15(12), P. 814 - 814

Published: Dec. 18, 2024

In modern digital infrastructure, cyber systems are foundational, making resilience against sophisticated attacks essential. Traditional cybersecurity defenses primarily address technical vulnerabilities; however, the human element, particularly decision-making during attacks, adds complexities that current behavioral studies fail to capture adequately. Existing approaches, including theoretical models, game theory, and simulators, rely on retrospective data static scenarios. These methods often miss real-time, context-specific nature of user responses threats. To these limitations, this work introduces a framework combines Extended Reality (XR) Generative Artificial Intelligence (Gen-AI) within gamified platform. This enables continuous, high-fidelity collection behavior in dynamic attack It includes three core modules: Player Behavior Module (PBM), Gamification (GM), Simulation (SM). Together, modules create an immersive, responsive environment for studying interactions. A case study simulated critical infrastructure demonstrates framework’s effectiveness capturing realistic behaviors under attack, with potential applications improving response strategies across sectors. lays foundation adaptive training user-centered development infrastructure.

Language: Английский

Prospective Applications of Artificial Intelligence In Fetal Medicine: A Scoping Review of Recent Updates DOI Creative Commons
Elhadi Miskeen, Jaber Alfaifi,

Dalal Mohammed Alhuian

et al.

International Journal of General Medicine, Journal Year: 2025, Volume and Issue: Volume 18, P. 237 - 245

Published: Jan. 1, 2025

With the incorporation of artificial intelligence (AI), significant advancements have occurred in field fetal medicine, holding potential to transform prenatal care and diagnostics, promising revolutionize diagnostics. This scoping review aims explore recent updates prospective application AI evaluating its current uses, benefits, limitations. Compiling literature concerning utilization medicine does not appear modify subject or provide an exhaustive exploration electronic databases. Relevant studies, reviews, articles published years were incorporated ensure up-to-date data. The selected works analyzed for common themes, methodologies applied, scope AI's integration into practice. identified several key areas where applications are making strides including screening, diagnosis congenital anomalies, predicting pregnancy complications. AI-driven algorithms been developed analyze complex ultrasound data, enhancing image quality interpretative accuracy. monitoring has also explored, with systems designed identify patterns indicative distress. Despite these advancements, challenges related ethical use AI, data privacy, need extensive validation tools diverse populations noted. benefits immense, offering a brighter future our field. equips us enhanced diagnosis, monitoring, prognostic capabilities, way we approach optimistic outlook underscores further research interdisciplinary partnerships fully leverage driving forward practice medicine.

Language: Английский

Citations

3
Digital twins and AI transforming healthcare systems through innovation and data-driven decision making DOI
Adel Oulefki, Abbes Amira, Sebti Foufou

et al.

Health and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Language: Английский

Citations

1
Anthropological Insights into Emotion Semantics in Intangible Cultural Heritage Museums: A Case Study of Eastern Sichuan, China DOI Open Access

Jiaman Li,

Maoen He, Zi Yang

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(5), P. 891 - 891

Published: Feb. 24, 2025

The preservation of intangible cultural heritage (ICH) has transitioned from “static” and “living” approaches to a “digital ecosystem”, becoming significant topic anthropological research. This study, adopting an perspective, integrates sentiment semantic analysis with user identity classification propose the Identity Sentiment-Centered Framework for Intangible Cultural Heritage (ISC-ICH). Drawing on four types ICH museums in Eastern Sichuan, China—Nanchong Langzhong Wang Shadow Puppetry Museum, Bazhong Pingchang Fanshan Jiaozi Base, Guang’an Sichuan Folk Dazhou Exhibition Hall—as case studies, this research analyzes core factors contributing audience’s sense local identity, including its composition, emotional needs, interaction. findings reveal that: (1) “Explorers” “Experience Seekers” constitute primary audience groups, their evaluations closely tied depth interactivity. (2) digital transformation faces challenges such as resource limitations, festival-centric phenomena, rise “internet celebrity” trends, technological homogenization. paper introduces culturally tailored corpus comprehensive evaluation framework, highlighting dynamic interaction between audience. Additionally, it proposes effective strategies enhance social peripheral regions.

Language: Английский

Citations

1
A comprehensive review of digital twin in healthcare in the scope of simulative health-monitoring DOI Creative Commons
Mubaris Nadeem,

Sascha Kostic,

Mareike Dornhöfer

et al.

Digital Health, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 1, 2025

Objective Digital twins (DTs) emerged in the wake of Industry 4.0 and creation cyber-physical systems, motivated by increased availability variability machine sensor data. DTs are a concept to create digital representation physical entity imitate its behavior, while feeding real-world data counterpart, thus allowing enabling simulations related entity. The new sources raises potential for developing structured approaches prediction analysis. Similarly, field medicine healthcare, collection patient-focused is rising. Medical DTs, structured, exchangeable representations knowledge, increasingly used capturing personal health, targeting specific illnesses, or addressing complex healthcare scenarios hospitals. Methods This article surveys current state-of-the-art applying how these generated support smart, personalized medicine. These concepts applied DT simulated health-monitoring scenario. Results use case implemented using AnyLogic multi-agent simulation, monitoring patient’s health indicators their development. Conclusion results indicate both possibilities challenges provide important insights future implementations healthcare. They have optimize various ways, such as providing patient-centered health-monitoring.

Language: Английский

Citations

0
Hearts, Data, and Artificial Intelligence Wizardry: From Imitation to Innovation in Cardiovascular Care DOI Creative Commons
Panteleimon Pantelidis, Polychronis Dilaveris, Samuel Ruipérez-Campillo

et al.

Biomedicines, Journal Year: 2025, Volume and Issue: 13(5), P. 1019 - 1019

Published: April 23, 2025

Artificial intelligence (AI) is transforming cardiovascular medicine by enabling the analysis of high-dimensional biomedical data with unprecedented precision. Initially employed to automate human tasks such as electrocardiogram (ECG) interpretation and imaging segmentation, AI’s true potential lies in uncovering hidden disease patterns, predicting long-term risk, personalizing treatments. Unlike cognition, which excels certain but limited memory processing constraints, AI integrates multimodal sources—including ECG, echocardiography, cardiac magnetic resonance (CMR) imaging, genomics, wearable sensor data—to generate novel clinical insights. models have demonstrated remarkable success early dis-ease detection, heart failure from standard ECGs before symptom on-set, distinguishing genetic cardiomyopathies, forecasting arrhythmic events. However, several challenges persist, including lack contextual understanding most these tasks, its “black-box” nature, biases training datasets that may contribute disparities healthcare delivery. Ethical considerations regulatory frameworks are evolving, governing bodies establishing guidelines for AI-driven medical applications. To fully harness AI, interdisciplinary collaboration among clinicians, scientists, engineers essential, alongside open science initiatives promote accessibility reproducibility. Future must go beyond task automation, focusing instead on augmenting expertise enable proactive, precision-driven care. By embracing computational strengths while addressing limitations, cardiology poised enter an era transformative innovation traditional diagnostic therapeutic paradigms.

Language: Английский

Citations

0
The New Frontier of Digital Twins in Next-Gen Wearables for Personalized Health Tracking DOI

A. Ashwini,

G. Santhiya,

S. Balasubramaniam

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 107 - 138

Published: March 28, 2025

Next-generation wearable technologies and digital twins are the two ingredients that make field of individual health monitoring innovation. Digital virtual representations people, which assimilate data from devices with biometric use analytic machine learning tools to produce models human change in real-time. The biomechanical equivalents these variables help enhancing examination cyclers' physiological alterations a way creates more compelling proposals for patient-oriented medical treatments. By integrating this twin models, healthcare providers can simulate scenarios, predict potential risks, tailor treatment plans unique needs each patient. As integration continues evolve, it promises unlock new frontiers personalized tracking, revolutionizing individuals clinicians manage wellness.

Language: Английский

Citations

0
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
The Virtual Revolution of Digital Twins in Chronic Healthcare Management DOI

M Lavanya,

A. Ashwini,

S. Balasubramaniam

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 169 - 200

Published: March 28, 2025

The introduction of digital twin technology is transforming chronic disease management and ushering in a new era precision medicine proactive care. concept the virtual representation physical entity that uses real-time data to provide comprehensive up-to-date health status patient. In context management, these counterparts allow healthcare providers monitor patient real-time, predict progression develop personalized treatment strategies. This paradigm shift enables patients physicians move from reactive predictive preventive integration into not without its challenges. Issues such as privacy, interoperability need for robust computing infrastructure be addressed realize full potential. By fostering collaboration between providers, this innovation can redefine future deliver more effective solutions management.

Language: Английский

Citations

0
Digital Twins in Healthcare DOI

Christina Joseph Jyothula,

C. Kishor Kumar Reddy, Thandiwe Sithole

et al.

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 48 - 68

Published: June 28, 2024

Digital twin is the virtual representation of a physical system that processes information from its counterpart's environment, used to predict, simulate, and validate system's future behaviour. system, being an emergent technology, has seen implementations in wide array industries such as smart cities, engineering, etc. In healthcare, digital technology shows great promise improve various areas patient care, virtualization hospital spaces, There are concerns regarding data confidentiality, safety, accuracy reliability, avoidance bias, These can be combated only through thorough feedback experts, i.e., healthcare professionals. This chapter aims provide valuable insights into different needs professionals while implementing systems aiding diagnosis, treatment planning, monitoring, collaboration among specialty teams all dealing with security sampling bias.

Language: Английский

Citations

2
Interactive teaching of medical 3D cardiac anatomy: atrial anatomy enhanced by ECG and 3D visualization DOI Creative Commons
Danila Potyagaylo, Peter van Dam, Marcin Kuniewicz

et al.

Frontiers in Medicine, Journal Year: 2024, Volume and Issue: 11

Published: July 4, 2024

The most commonly applied way of teaching students to convey the foundations human anatomy and physiology involves textbooks lectures. This transmitting knowledge causes difficulties for students, especially in context three-dimensional imaging organ structures, as a consequence translates into with imagining them. Even despite rapid uptake dissemination provided by online materials, including courses webinars, there is clear need learning programs featuring first-hand immersive experiences tailored suit individual study paces. In this paper, we present an approach enhance classical program combining multi-modality data representing them Mixed Reality (MR)-based environment. advantages proposed have been proven conducted investigation relationship between atrial anatomy, its electrophysiological characteristics, resulting P wave morphology on electrocardiogram (ECG). Another part paper focuses role sinoatrial node ECG formation, while MR-based visualization combined micro-computed tomography (micro-CT) non-invasive CineECG demonstrates educational application these advanced technologies cardiac correlations.

Language: Английский

Citations

0