Several possible studies
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AI helps neurologists distinguish epilepsy from functional seizures (opens in a new tab)
news-medical.net · 2026-10-12
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Several possible studiesNo clear answer.
More than one paper fits the article's details, and none fits well enough to single out. Checking claims against the wrong study would be worse than not checking them at all.
Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.
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AI helps neurologists distinguish epilepsy from functional seizures
news-medical.net · 2026-10-12
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Several studies could be the source of this story.
More than one paper fits the article's details, and none fits well enough to single out. Checking claims against the wrong study would be worse than not checking them at all.
Open claim evidenceSearch result
Several studies could fit.
More than one paper fits the article's details, and none fits well enough to single out. Checking claims against the wrong study would be worse than not checking them at all.
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What the story asserts. With no source study, there is nothing to check these against.
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Claim 1 of 5Not checkedResearchers described the development and validation of EpiScreen, an AI system designed to distinguish epilepsy from psychogenic non-epileptic seizures (PNES) using clinical notes from routinely documented electronic health records.View evidenceHide evidence
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NewsLink could not identify one source study, so this claim was not compared against a paper.
Claim 2 of 5Not checkedThe retrospective, two-institution study used 13,633 patient records and reported that fine-tuned large language models could accurately differentiate epilepsy from PNES.View evidenceHide evidence
As stated13,633 patient records
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NewsLink could not identify one source study, so this claim was not compared against a paper.
Claim 3 of 5Not checkedEpiScreen outperformed comparison models, achieving an AUC of up to 0.992 in within-institution testing and 0.980 in cross-institutional testing.View evidenceHide evidence
As statedAUC up to 0.992 within-institution and 0.980 cross-institutional
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NewsLink could not identify one source study, so this claim was not compared against a paper.
Claim 4 of 5Not checkedIn a retrospective clinician-AI assessment, EpiScreen improved clinicians’ classification accuracy, with AI-assisted resident and attending groups performing better than unaided clinicians.View evidenceHide evidence
As stated81.0% standalone AI accuracy; AI-assisted resident accuracy 87.7%–89.0%; AI-assisted attending accuracy 89.3%
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NewsLink could not identify one source study, so this claim was not compared against a paper.
Claim 5 of 5Not checkedThe article says the authors suggest using the system during or after neurology referral, before confirmatory video-EEG, to support earlier assessment and prioritization of urgent monitoring, but that prospective real-time trials are still needed.View evidenceHide evidence
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NewsLink could not identify one source study, so this claim was not compared against a paper.
Method layer
No single source study was found.
NewsLink still surfaces nearby research so you can inspect the field instead of a single paper.
Nearby research
No exact source, but these papers are close.
Crossref, PubMed, Europe PMC · 16 candidate papers
Early epilepsy detection from electronic health records with large language models
Npj Digital Medicine · 2026 · Crossref
Bridging the outcome documentation gap in epilepsy surgery: Validating large language model agents for automated Engel and International League Against Epilepsy scoring from clinical notes.
Epilepsia · 2026 · PubMed, Europe PMC
Psychogenic nonepileptic seizures
Handbook of Clinical Neurology · 2012 · Crossref
LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG.
Medical Image Computing and Computer-assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026 · PubMed
Managing Psychogenic Nonepileptic Seizures in Patients with Comorbid Epilepsy
Gates and Rowan's Nonepileptic Seizures · Crossref
And 11 more candidates considered.