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Article

Concordance Between the DeepSeek-V3 Language Model and Multidisciplinary Team Recommendations in Lung Cancer: A Retrospective Study

2026-04-10

Abstract excerpt

<title>Abstract</title> <p>Background The complexity of lung cancer multidisciplinary team (MDT) decision-making necessitates tools that can efficiently synthesize clinical data. Evaluating the concordance between large language model (LLM)-generated recommendations and MDT decisions is critical for clinical integration. Objective This study aimed to evaluate the overall and subgroup concordance between treatme...

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Literature Corpus work
0e58bbb7-fdbf-5765-949b-c08fcc8ab67f
DOI
10.21203/rs.3.rs-9109873/v1
Open publication

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Concordance Between the DeepSeek-V3 Language Model and Multidisciplinary Team Recommendations in Lung Cancer: A Retrospective StudyDOI 10.21203/rs.3.rs-9109873/v1
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