Digital Twin of the Female Pelvic Floor DOI Open Access
Vladimir Egorov

Open Journal of Obstetrics and Gynecology, Journal Year: 2024, Volume and Issue: 14(11), P. 1687 - 1694

Published: Jan. 1, 2024

Digital twin technology, originally developed for intricate physical systems, holds great potential in women's healthcare, particularly the management of pelvic floor disorders. This paper delves into development a digital specifically female floor, which can amalgamate various data sources such as imaging, biomechanical assessments, and patient-reported outcomes to offer personalized diagnostic therapeutic insights. Through utilization 3D modeling machine learning, may facilitate precise visualization, prediction, individualized treatment planning. Nevertheless, it is crucial address ethical practical challenges related privacy ensuring fair access. As this technology progresses, has revolutionize gynecological obstetric care by enhancing diagnostics, customizing treatments, increasing patient involvement.

Language: Английский

Tech-Driven Healthcare Evolution DOI
Helena Caria

Advances in business information systems and analytics book series, Journal Year: 2025, Volume and Issue: unknown, P. 305 - 322

Published: Feb. 14, 2025

In the context of healthcare institutions, leveraging technology for adaptability means considering advancements that enhance institution's ability to respond changes, challenges, and opportunities in sector. Common examples include implementing telemedicine remote monitoring, as well adopting electronic health records developed countries. Additionally, predictive modelling through data analytics broadens information integrates IoT devices wearable technology. These highlight ongoing technological evolution healthcare. This paper aims analyse established practices with a focus on how enhances improvements organizations increase efficacy care. It explores use digital tools, application data-driven insights, implementation agile achieve three key objectives: improving patient care, increasing operational efficiency, strengthening organizational resilience response dynamic challenges

Language: Английский

Citations

0

Comprehensive Modeling of Occupational Diseases Using Digital Twins DOI

Fei Qi,

Joseph. K.H. Wang

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 233 - 270

Published: March 28, 2025

This chapter focuses on the application and beneficial effects of digital twins in field occupational disease prevention treatment. Taking IoT approach as an example, this introduces how to use both factory site data worker physiological build provide personalized treatment models through AI-driven analysis. The practical applicability advantages technology are illustrated case study noise-induced hearing loss (NIHL) a foundry setting. By integrating environmental noise monitoring with individual health data, generate precise representations correlation between exposure health. method improves safety workers by enhancing accuracy efficacy risk assessments, resulting more targeted efficient interventions.

Language: Английский

Citations

0

Industry 6.0: the essence, trends and strategic opportunities for Russia DOI Open Access
A. V. Babkin, Elena Shkarupeta

Russian Journal of Industrial Economics, Journal Year: 2024, Volume and Issue: 17(4), P. 353 - 377

Published: Oct. 26, 2024

The article presents the results of a systematic study Industry 6.0 which is future stage industrial development characterized by intelligent and technological immersive hyperconnection physical-cognitive-emotional fusion virtual (superior to digital) twins humans machines. authors carry out literary review synthesis existing defi nitions 6.0, suggest authors’ nition concept, systematize key technologies six research projections: automation, sustainable development, human-machine interaction, information cybersecurity, machine learning, human resource management. Special attention paid distinctive features compared Industries 4.0 5.0. involves ubiquitous machines that allows implementing ultrapersonalized production create emotionally ecosystems, often with help quantum technologies. discuss opportunities in Russia basing on national strategies data economics, sovereignty ‘Technet’ program National Technological Initiative. limitations are connected futuristic nature lack suffi cient empiric base limited amount relevant scientifi c publications. directions further may include practical models for integration ecosystems into Russian technology sectors. should be methods assessment economic social effect from implementation such as multiagent systems, computing emotional intelligence well ways their adaptation within economics data.

Language: Английский

Citations

1

AI-Aided Proximity Detection and Location-Dependent Authentication on Mobile-Based Digital Twin Networks: A Case Study of Door Materials DOI Creative Commons
Woojin Park, Hyeyoung An,

Yongbin Yim

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(20), P. 9402 - 9402

Published: Oct. 15, 2024

Nowadays, mobile–mobile interaction is becoming a fundamental methodology for human–human networking services since mobile devices are the most common interfacing equipment recent smart such as food delivery, e-commerce, ride-hailing, etc. Unlike legacy ways of human interaction, on-site and in-person mutual recognition between service provider client in not trivial. This because only avoidance face-to-face communication due to safety health concerns but also difficulty matching up online user using mobiles with real person physical world. So, novel scheme highly necessary. paper comes cyber-physical secure relying on digital twin paradigm. The proposed designs architecture which real-world users form twins their own abstraction, authenticate each other interaction. Thus, inter-twin (ITC) could support Such authentication (CPA) ITC built dynamic BLE beaconing accurate proximity detection identifier (ID) allocation. To achieve high accuracy detection, conducted wide variety data pre-processing algorithms, machine learning technologies, ensemble techniques. A location-dependent ID exploited CPA dynamically generated by per service.

Language: Английский

Citations

0

Digital Twin of the Female Pelvic Floor DOI Open Access
Vladimir Egorov

Open Journal of Obstetrics and Gynecology, Journal Year: 2024, Volume and Issue: 14(11), P. 1687 - 1694

Published: Jan. 1, 2024

Digital twin technology, originally developed for intricate physical systems, holds great potential in women's healthcare, particularly the management of pelvic floor disorders. This paper delves into development a digital specifically female floor, which can amalgamate various data sources such as imaging, biomechanical assessments, and patient-reported outcomes to offer personalized diagnostic therapeutic insights. Through utilization 3D modeling machine learning, may facilitate precise visualization, prediction, individualized treatment planning. Nevertheless, it is crucial address ethical practical challenges related privacy ensuring fair access. As this technology progresses, has revolutionize gynecological obstetric care by enhancing diagnostics, customizing treatments, increasing patient involvement.

Language: Английский

Citations

0