Consensus-Level and Cluster-Adjusted Evaluation of a Large Language Model for Diagnostic Extraction from Musculoskeletal Radiology Reports.
Bosbach; Montazeri; Senge; Beisbart; Mitrakovic; Anderson; Divjak; Ivanac · 2026 · Diagnostics (Basel, Switzerland)
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Purpose: Large language models (LLMs) may reduce administrative workload in radiology by automating structured diagnostic extraction from text reports. This study evaluates the accuracy of ChatGPT-4.0 when extracting correct diagnoses from…
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Metadata source: PubMed · DOI 10.3390/diagnostics16111590