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July 21, 2025HealthcareOpen Access

A Technological Review of Digital Twins and Artificial Intelligence for Personalized and Predictive Healthcare

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Authors

SCSilvia L. Chaparro-CárdenasJRJulian Andres Ramirez-BautistaJTJuan Terven

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Overview

This review highlights advances in digital twins and predictive modeling in healthcare, suggesting ethical considerations for implementation.

Key Points

  • Digital twins provide real-time virtual representations of patient data, enhancing personalized healthcare delivery.
  • Combining artificial intelligence with digital twins enables better predictive modeling and data-driven clinical support.
  • This review examines the integration challenges of digital twins in healthcare, focusing on issues like data privacy and scalability.
  • The findings emphasize the need for ethical guidelines to ensure patient safety and trust in AI-augmented healthcare systems.

Cite This Study

Chaparro-Cárdenas et al. (2025) studied this question.

synapsesocial.com/papers/689a060ee6551bb0af8cd3dchttps://doi.org/10.3390/healthcare13141763
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  5. 5Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint2025 · 71 citations