The authors transcribed 12,534 minutes of publicly available YouTube tumor board recordings, producing 611 patient cases and 19,157 discussion turns.
Real tumor board discussions expose gaps in medical language models
Across 611 cancer cases, leading models only partially reproduced specialists’ answers and multidisciplinary treatment conclusions.
Big Tech
Anqi Li · Zhixuan Ge · Yixuan Duan · Jiarong Qian · Chi-Yu Chen · MingYu Lu · +6 more
Rice University · University of Illinois at Urbana-Champaign · University of Washington · National Yang Ming Chiao Tung University · Microsoft
Research Digest··2 min read
Li and colleagues built OpenTumorBoard from recordings of real multidisciplinary cancer discussions, preserving the sequence of questions, specialist responses and consensus decisions.
Why this paper
From Microsoft and 5 others
In one line
OpenTumorBoard benchmarks LLMs on tumor board discussions; best models score 3.43/5 in clinical equivalence.
What we could check
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- ✓Reports numbers on named benchmarks (2 benchmarks)
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