Single answer
A value, a classification or a conclusion, graded against the reference with a stated tolerance.
A benchmark of large language models in laboratory medicine
LabMedBench measures how well language models handle the work of a clinical laboratory specialist: calculations, interpretation of results, quality control, preanalytical problems, method validation, reference intervals, interference and laboratory management.
October 2026: expert validation in progress. Results will be released with the article.Listed alphabetically. Scores will appear here when the article is published.
One number to judge a laboratory AI.
Accuracy tells you how often a model is right. LabOI also counts how often it is confidently wrong, the error that reaches a patient. If you look at one score, look at this one.
Many questions ask for a value or a conclusion that cannot validly be given for the case shown, for example because the sample, the calibration or the comparison data are unsuitable. A model gets these right only by saying why the result should not be used.
A value, a classification or a conclusion, graded against the reference with a stated tolerance.
The requested number or verdict is invalid for the case. Correct only if the answer says so and does not rely on it.
Cases, several built from anonymised patient panels with controlled artefacts. The answer must cover every required action and make no forbidden statement.
No judge grades its own answers. Each question and reference answer is also checked by at least one specialist who did not write it.
The questions are kept private so that they cannot end up in model training data. Specialists who validate them receive access by invitation.