Breakthrough and Challenging Application: Mixed Reality-Assisted Intracardiac Surgery

Applied Sciences, Год журнала: 2024, Номер 14(22), С. 10151 - 10151

Опубликована: Ноя. 6, 2024

Background: While several studies investigate the utility and clinical value of 3D printing in aiding diagnosis, medical education, preoperative planning, intraoperative guidance surgical interventions, there is a scarcity literature regarding concrete applications mixed reality cardiovascular domain due to its nascent stage study expansion. This goes beyond mere three-dimensional visualization cardiac district, aiming visualize intracardiac structures within scope planning for surgery. Methods: The segmentation heart was performed through an open-source professional software by applying different procedures. Each anatomical component heart, including aortic valve, accurately segmented model built represent entire heart. Results: Beyond region, were also segmented. A mixed-reality app implemented with possibility exploding model, interacting it, freely sectioning it plane. Conclusions: proposed methodology allows valve structures. Furthermore, has confirmed potential this technology diagnostic although some limitations should still be overcome.

Язык: Английский

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Comprehensive Analysis of Cardiovascular Diseases: Symptoms, Diagnosis, and AI Innovations

Bioengineering, Год журнала: 2024, Номер 11(12), С. 1239 - 1239

Опубликована: Дек. 7, 2024

Cardiovascular diseases are some of the underlying reasons contributing to relentless rise in mortality rates across globe. In this regard, there is a genuine need integrate advanced technologies into medical realm detect such accurately. Moreover, numerous academic studies have been published using AI-based methodologies because their enhanced accuracy detecting heart conditions. This research extensively delineates different conditions, e.g., coronary artery disease, arrhythmia, atherosclerosis, mitral valve prolapse/mitral regurgitation, and myocardial infarction, symptoms subsequently introduces detection for precisely classifying diseases. The review shows that incorporation artificial intelligence exhibits accuracies along with plethora other benefits, like improved diagnostic accuracy, early prevention, reduction errors, faster diagnosis, personalized treatment schedules, optimized monitoring predictive analysis, efficiency, scalability. Furthermore, also indicates conspicuous disparities between results generated by previous algorithms latest ones, paving way researchers ascertain these through comparative analysis practical conditions patients. conclusion, AI disease holds paramount significance transformative potential greatly enhance patient outcomes, mitigate healthcare expenditure, amplify speed diagnosis.

Язык: Английский

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Understanding User Behavior for Enhancing Cybersecurity Training with Immersive Gamified Platforms

Information, Год журнала: 2024, Номер 15(12), С. 814 - 814

Опубликована: Дек. 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.

Язык: Английский

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Interactive teaching of medical 3D cardiac anatomy: atrial anatomy enhanced by ECG and 3D visualization

Frontiers in Medicine, Год журнала: 2024, Номер 11

Опубликована: Июль 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.

Язык: Английский

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