Digital Twin for Smart Societies: A Catalyst for Inclusive and Accessible Healthcare
- URL: http://arxiv.org/abs/2501.07570v1
- Date: Mon, 13 Jan 2025 18:57:15 GMT
- Title: Digital Twin for Smart Societies: A Catalyst for Inclusive and Accessible Healthcare
- Authors: Joshit Mohanty, Sujatha Alla, Vaishali, Nagesh Bheesetty, Prasanthi Chidipudi, Satya Prakash Chowdary Nandigam, Marisha Jmukhadze, Puneeth Bheesetty, Narendra Lakshmana Gowda,
- Abstract summary: Digital twins can enable real-time monitoring, simulation, and optimization of urban dynamics.
This paper explores the potential of digital twins to promote inclusive healthcare for evolving smart cities.
- Score: 0.2153402800940171
- License:
- Abstract: With rapid digitization and digitalization, drawing a fine line between the digital and the physical world has become nearly impossible. It has become essential more than ever to integrate all spheres of life into a single Digital Thread to address pressing challenges of modern society: accessible and inclusive healthcare in terms of equality and equity. Techno-social advancements and mutual acceptance have enabled the infusion of digital models to simulate social settings with minimum resource utilization to make effective decisions. However, a significant gap exists in feeding back the models with appropriate real-time changes. In other words, active behavioral modeling of modern society is lacking, influencing community healthcare as a whole. By creating virtual replicas of (physical) behavioral systems, digital twins can enable real-time monitoring, simulation, and optimization of urban dynamics. This paper explores the potential of digital twins to promote inclusive healthcare for evolving smart cities. We argue that digital twins can be used to: Identify and address disparities in access to healthcare services, Facilitate community participation, Simulate the impact of urban policies and interventions on different groups of people, and Aid policy-making bodies for better access to healthcare. This paper proposes several ways to use digital twins to stitch the actual and virtual societies. Several discussed concepts within this framework envision an active, integrated, and synchronized community aware of data privacy and security. The proposal also provides high-level step-wise transitions that will enable this transformation.
Related papers
- Y Social: an LLM-powered Social Media Digital Twin [0.3932300766934226]
We introduce Y, a new-generation digital twin designed to replicate an online social media platform.
Y offers valuable insights into user engagement, information spread, and the impact of platform policies.
arXiv Detail & Related papers (2024-08-01T17:16:21Z) - On the Emergence of Symmetrical Reality [51.21203247240322]
We introduce the symmetrical reality framework, which offers a unified representation encompassing various forms of physical-virtual amalgamations.
We propose an instance of an AI-driven active assistance service that illustrates the potential applications of symmetrical reality.
arXiv Detail & Related papers (2024-01-26T16:09:39Z) - From Digital Twins to Digital Twin Prototypes: Concepts, Formalization,
and Applications [55.57032418885258]
There is no consensual definition of what a digital twin is.
Our digital twin prototype (DTP) approach supports engineers during the development and automated testing of embedded software systems.
arXiv Detail & Related papers (2024-01-15T22:13:48Z) - Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0 [47.60424943340677]
The concept of digital twin (DT) is expected to revolutionize future industries and will lie at the heart of the vision of a future smart society, namely, Society 5.0.
This paper envisions a novel concept of an Internet of Federated Digital Twins (IoFDT) that holistically integrates DTs representing different Society 5.0 services.
arXiv Detail & Related papers (2023-12-11T14:56:27Z) - Digital Life Project: Autonomous 3D Characters with Social Intelligence [86.2845109451914]
Digital Life Project is a framework utilizing language as the universal medium to build autonomous 3D characters.
Our framework comprises two primary components: SocioMind and MoMat-MoGen.
arXiv Detail & Related papers (2023-12-07T18:58:59Z) - Digital Twins for Patient Care via Knowledge Graphs and Closed-Form
Continuous-Time Liquid Neural Networks [0.0]
Digital twins are readily gaining traction in industries like manufacturing, supply chain logistics, and civil infrastructure.
The challenge of modeling complex diseases with multimodal patient data and the computational complexities of analyzing it have stifled digital twin adoption in the biomedical vertical.
This paper proposes a novel framework for addressing the barriers to clinical twin modeling created by computational costs and modeling complexities.
arXiv Detail & Related papers (2023-07-08T12:52:31Z) - From the digital twins in healthcare to the Virtual Human Twin: a
moon-shot project for digital health research [3.380330348681461]
This position paper lays the conceptual foundations for developing the Virtual Human Twin.
The VHT infrastructure aims to facilitate academic researchers, public organisations, and the biomedical industry.
This paper is intended as a starting point for the consensus process and a call to arms for all stakeholders.
arXiv Detail & Related papers (2023-03-27T08:32:34Z) - A perspective on the use of health digital twins in computational
pathology [0.0]
A digital health twin can be defined as a virtual model of a physical person, in this specific case, a patient.
This virtual model is constituted by multidimensional data that can host from clinical, molecular and therapeutic parameters to sensor data and living conditions.
arXiv Detail & Related papers (2022-11-30T11:13:05Z) - Towards responsible research in digital technology for health care [0.0]
Digital technology is everywhere for the benefit of our daily and professional life.
It strongly impacts our life and was crucial to maintain professional and social activities during the COVID19 crisis.
Innovations have been generated and introduced over the last 40 years, demonstrating how computing and digital technologies have impacted health care.
arXiv Detail & Related papers (2021-09-28T07:01:29Z) - Digital Twins: State of the Art Theory and Practice, Challenges, and
Open Research Questions [62.67593386796497]
This work explores the various DT features and current approaches, the shortcomings and reasons behind the delay in the implementation and adoption of digital twin.
The major reasons for this delay are the lack of a universal reference framework, domain dependence, security concerns of shared data, reliance of digital twin on other technologies, and lack of quantitative metrics.
arXiv Detail & Related papers (2020-11-02T19:08:49Z) - AEGIS: A real-time multimodal augmented reality computer vision based
system to assist facial expression recognition for individuals with autism
spectrum disorder [93.0013343535411]
This paper presents the development of a multimodal augmented reality (AR) system which combines the use of computer vision and deep convolutional neural networks (CNN)
The proposed system, which we call AEGIS, is an assistive technology deployable on a variety of user devices including tablets, smartphones, video conference systems, or smartglasses.
We leverage both spatial and temporal information in order to provide an accurate expression prediction, which is then converted into its corresponding visualization and drawn on top of the original video frame.
arXiv Detail & Related papers (2020-10-22T17:20:38Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.