Purpose. Prognostic assessments after acute brain injury are largely narrative, and how prognostic language relates to subsequent care has not been measured at scale. We quantified where it is written and its association with a subsequent code-status limitation. Materials and Methods. Multidatabase observational study...
A. Gorenshtein, Y. Adiniaev, A. Srour et al.· medRxiv· 0 citations
Current evidence does not support the use of LLMs for diagnosis, treatment selection, or patient education in AD/MCI without clinician oversight, and are further limited by small heterogeneous evaluations, sparse hallucination measurement, and absence of prospective clinical validation.
Y. Adiniaev, Mahmud Omar, Oved Daniel et al.· Neurological Sciences· 0 citations
This retrospectively re-decoded 3,373 P300-speller selections from 47 people with amyotrophic lateral sclerosis, reconstructing a neural posterior and combining it with 25 language priors ranging from 5-grams to 46.7-billion-parameter models to reveal how strongly a fused brain-computer interface decision depends on it...
A. Gorenshtein, M. Omar, E. Jia et al.· medRxiv· 1 citation
Language-model post-editing produced fluent semantic substitutions that rose with corruption, confidence did not reliably flag, and no interface policy removed, and this does not demonstrate clinical harm; prospective human-in-the-loop evaluation is needed.
A. Gorenshtein, M. Omar, E. Jia et al.· medRxiv· 0 citations
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