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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-driven virtual tumor board improves diagnostic accuracy in myelodysplastic syndromes, suggesting better patient outcomes.

Key Points

  • To develop and evaluate an AI-driven virtual tumor board for enhancing precision care in myelodysplastic syndromes.
  • Developed Virtual MDS Panel (VMP) with four AI agents for diagnosis, prognosis, and therapy recommendations.
  • Evaluated performance against leading large language models using expert scoring on a set of 30 real-world MDS cases.
  • Experts scored AI responses for accuracy, clinical relevance, and completeness using a Likert scale.
  • VMP achieved an accuracy of 93%, outperforming leading models: GPT-o3 (82%), GPT-4o (80%), DeepSeek (71%), Claude (66%).
  • Experts rated VMP highest in diagnosis (4.3) and prognosis (4.4), while therapy selection was 3.9.
  • VMP had only 9% major factual errors compared to 26-36% in competing models.

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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