Exploring the Potential of Digital Twins in Cancer Treatment: A Narrative Review of Reviews
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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
2Topics & keywords
Keywords
- Medicine
- Precision medicine
- Checklist
- Narrative
- Conflict of interest
- Health care
- Medical physics
- Medical education
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