reviewJournal of Clinical MedicineMay 20, 2025GOLD OA

Exploring the Potential of Digital Twins in Cancer Treatment: A Narrative Review of Reviews

PubMed
Indexed incrossrefpubmed

Abstract

Background

Digital twin (DT) technology, integrated with artificial intelligence (AI) and machine learning (ML), holds significant potential to transform oncology care. By creating dynamic virtual replicas of patients, DTs allow clinicians to simulate disease progression and treatment responses, offering a personalized approach to cancer treatment.

Aim

This narrative review aimed to synthesize existing review studies on the application of digital twins in oncology, focusing on their potential benefits, challenges, and ethical considerations.

Citation impact

45
total citations
FWCI
20.95
Percentile
100%
References
49
Citations per year

Authors

2

Topics & keywords

Keywords
  • Medicine
  • Precision medicine
  • Checklist
  • Narrative
  • Conflict of interest
  • Health care
  • Medical physics
  • Medical education
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