Research on Interactive Teaching System and Method Based on Augmented Reality DOI Creative Commons
Ziqi Wang, Jian Yang

Transactions on Economics Business and Management Research, Journal Year: 2024, Volume and Issue: 8, P. 226 - 230

Published: Aug. 9, 2024

This study provides an interactive teaching system and method based on augmented reality, belonging to the field of educational technology. The reality feature that includes a core processing module, content creation management user interaction data analysis evaluation technical support maintenance module. learning behavior unit tracks paths data, effectiveness uses big evaluate outcomes strategies, personalized recommendation recommends resources or adjusts student performance, utilizes deep prediction models for multidimensional evaluation, real-time feedback, guides adjustments offers remote diagnostics, automatic updates, fault prevention, adopts predictive strategies reduce downtime, operates 24/7 customer service instantly resolve issues, ensuring activities are not disrupted.

Language: Английский

An overview of Metaverse in healthcare. Potential application in forensic and legal medicine DOI Creative Commons

Davide Ferorelli,

Gianmarco Sirago,

Fabiana Calò

et al.

Forensic Science Medicine and Pathology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Language: Английский

Citations

1
Artificial Intelligence for Predicting Progression and Personalizing Healthcare to Alzheimer's Disease Patients DOI

I F T I Khar Ali,

Vijaya Kittu Manda

Advances in healthcare information systems and administration book series, Journal Year: 2025, Volume and Issue: unknown, P. 155 - 190

Published: Jan. 10, 2025

This chapter explains the use of Deep Learning Models from Artificial Intelligence (AI) that take Structural and Functional Magnetic Resonance Imaging (S/FMRI) data to classify Alzheimer's disease (AD) progression stages. Early accurate diagnosis AD is necessary for timely intervention, treatment planning, providing personalized healthcare. Current limitations in diagnostic methods necessitate using AI such as Convolutional Neural Networks (CNN) Recurrent (RNN) extract features MRI develop models predicting Mild Cognitive Impairment (MCI), AD, Dementia. Initial results a case study applied methodology demonstrated improved classification accuracy over traditional accurately classifying stages developing patient care. With more refinement technologies progress, these computational approaches can drastically positively change Healthcare professionals benefit this by understanding how be implemented deal with neurodegenerative diseases.

Language: Английский

Citations

0
Early progression detection from MCI to AD using multi-view MRI for enhanced assisted living DOI
Nasir Rahim,

Naveed Ahmad,

Waseem Ullah

et al.

Image and Vision Computing, Journal Year: 2025, Volume and Issue: unknown, P. 105491 - 105491

Published: March 1, 2025

Language: Английский

Citations

0
Multimodal fusion architectures for Alzheimer’s disease diagnosis: An experimental study DOI

Florence Leony,

Chen‐ju Lin

Journal of Biomedical Informatics, Journal Year: 2025, Volume and Issue: 166, P. 104834 - 104834

Published: May 6, 2025

Language: Английский

Citations

0
Extended reality for neurocognitive assessment: A systematic review DOI

Khalid Bello,

Faisal Aqlan,

William Harrington

et al.

Journal of Psychiatric Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Enhancing elderly patient journey: exploring immersive technology touchpoints and user experience in healthcare DOI
Giulia Nevi,

Giulia Gogiali,

Armando Papa

et al.

Journal of Strategic Marketing, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: March 24, 2025

Language: Английский

Citations

0
Toward Diagnosis of Diseases Using Emerging Technologies: A Comprehensive Survey of the State of the Art in Metaverse DOI Creative Commons
Nasim Aslani, Ali Garavand

International Journal of Intelligent Systems, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Introduction: The Metaverse, a rapidly growing technology in healthcare, is proving to be game‐changer early disease detection and diagnosis. This study aimed identify the latest scientific achievements such as its effects, associated technologies, obstacles for diagnosing diseases. Methods: In this review study, databases, including PubMed Web of Science, were searched using related keywords. Related studies about Metaverse diagnosis included according inclusion exclusion criteria. Data extraction was done data form. findings summarized reported tables figures objectives. Results: From 1706 retrieved articles, 28 Most conducted 2023 (13 out 28). 13 groups specialists used diagnose diseases; oncologists neurologists it more than others. most important technological aspects six main categories, computer vision, artificial intelligence, virtual reality, blockchain, digital twin, cloud computing. Metaverse’s effects diagnostic interventions 22 subcategories five improving diagnosis, facilitating interactions, education, better future, uncertainty. role particularly significant. challenges seven subcategories: studies, financial limitations, issues, structural legal ethical acceptance, nature Metaverse. Conclusion: Given pivotal accurate patients treatment plans, potential complex challenging diagnoses However, note that can only fully realized through further research on utilizing specifically call additional not just suggestion but necessity future healthcare.

Language: Английский

Citations

0
Research on Interactive Teaching System and Method Based on Augmented Reality DOI Creative Commons
Ziqi Wang, Jian Yang

Transactions on Economics Business and Management Research, Journal Year: 2024, Volume and Issue: 8, P. 226 - 230

Published: Aug. 9, 2024

This study provides an interactive teaching system and method based on augmented reality, belonging to the field of educational technology. The reality feature that includes a core processing module, content creation management user interaction data analysis evaluation technical support maintenance module. learning behavior unit tracks paths data, effectiveness uses big evaluate outcomes strategies, personalized recommendation recommends resources or adjusts student performance, utilizes deep prediction models for multidimensional evaluation, real-time feedback, guides adjustments offers remote diagnostics, automatic updates, fault prevention, adopts predictive strategies reduce downtime, operates 24/7 customer service instantly resolve issues, ensuring activities are not disrupted.

Language: Английский

Citations

0