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December 8, 2025Blood

Artificial intelligence‑driven virtual tumor board enhances precision care in myelodysplastic syndromes (MDS)

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Authors

SVSangeetha VenugopalMRMarco Gabriele RaddiJWJia-Sheng Wang

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Overview

AI system improves diagnostic accuracy in myelodysplastic syndromes, indicating its potential in precision care.

Key Points

  • The aim was to evaluate an AI system designed to enhance decision-making in myelodysplastic syndromes.
  • Developed the Virtual MDS Panel (VMP) with specialized AI agents for queries and tasks.
  • Evaluated VMP against leading large language models on 30 complex MDS cases.
  • Expert assessments rated AI outputs for accuracy and relevance, applying statistical measures for agreement.
  • VMP achieved 93% accuracy, surpassing leading models including GPT-3 and Claude.
  • Experts rated VMP the highest for diagnosis (4.3), prognosis (4.4), and therapy selection (3.9).
  • VMP had significantly fewer major factual errors (9%) compared to competitors' higher error rates.

Cite This Study

Venugopal et al. (2025) studied this question.

synapsesocial.com/papers/693624dd4fa91c937236d207https://doi.org/10.1182/blood-2025-7363
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