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Artificial intelligence-driven virtual tumor board enhances precision care in myelodysplastic syndromes

2026-03-27

Abstract excerpt

<h4>Background</h4> Large language models (LLMs) perform well on standardized medical exam questions, but their reliability for complex hematology decision making is uncertain. We compared four general-purpose LLMs (GPT-4o, GPT-o3, Claude Sonnet 4, and DeepSeek-V3) with a Virtual MDS Panel (VMP), a coordinated multi-agent AI system in which domain-specialized, rule-bound software agents (WHO/ICC guidelines; IPSS-...

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Literature Corpus work
97f24264-1e2d-5ce9-8484-d3f67f3ce929
DOI
10.64898/2026.03.26.26349088
Open publication

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Artificial intelligence-driven virtual tumor board enhances precision care in myelodysplastic syndromesDOI 10.64898/2026.03.26.26349088
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