Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Can artificial intelligence diagnose seizures based on patients' descriptions? A study of <scp>GPT</scp> ‐4
6
Zitationen
5
Autoren
2025
Jahr
Abstract
Although its "raw" performance was poor, GPT-4 showed noticeable improvement having been given just one example of a patient describing epilepsy and FDS. Giving two and three examples did not further improve performance, but the finding that GPT-4 did much better in those cases correctly diagnosed by all three neurologists suggests that providing more extensive clinical data and more elaborate approaches (e.g., more refined prompt engineering, fine-tuning, or retrieval augmented generation) could unlock the full diagnostic potential of LLMs.
Ähnliche Arbeiten
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
2004 · 24.521 Zit.
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
2010 · 11.123 Zit.
Principles of neural science
1982 · 9.179 Zit.
Nonparametric statistical testing of EEG- and MEG-data
2007 · 9.042 Zit.
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
2005 · 8.784 Zit.