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Updated: Sep 10, 2025

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

Published on: January 18, 2021

Digital twin for personalized medicine development.

Saniya Y Saratkar¹, Meher Langote¹, Praveen Kumar²

¹Department of Artificial Intelligence and Data Science, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research, Wardha, India.

Frontiers in Digital Health

|August 25, 2025

Summary

This summary is machine-generated.

Digital Twins (DTs) create personalized patient replicas using AI and IoT for advanced healthcare. This technology revolutionizes diagnostics and treatment, paving the way for precision medicine.

Keywords:

artificial intelligence digital twin healthcare internet of things (IoT)personalized medicine

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Area of Science:

Healthcare Technology
Digital Health
Personalized Medicine

Background:

Digital Twin (DT) technology, an Industry 4.0 innovation, integrates AI, IoT, and ML.
DTs create dynamic, data-driven patient replicas for advanced medical applications.

Purpose of the Study:

To review the evolution, architecture, and technologies of DTs in healthcare.
To explore the transformative applications of DTs in personalized medicine (PM).

Main Methods:

Review of existing literature on Digital Twin technology in healthcare.
Analysis of AI, IoT, and ML integration for patient replica creation.
Exploration of applications in disease simulation, diagnostics, and treatment optimization.

Main Results:

DTs enable real-time patient monitoring and predictive analytics.
Personalized treatment plans are optimized using genetic and lifestyle data.
DTs facilitate simulations for disease progression and diagnostic improvements.

Conclusions:

DT integration offers significant potential to enhance healthcare outcomes and efficiency.
Addressing challenges like data privacy, interoperability, and ethics is crucial.
Future advancements in AI, cloud computing, and blockchain will drive precision medicine.