Europe PMC
open access
Diagnostic accuracy of multimodal large language models in differentiating epileptic from functional seizures in smartphone recorded videos
artificial-intelligenceclinical-decision-supportdiagnostic-accuracyepilepsylarge-language-models-llms
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Diagnostic Value of Smartphone Video in Epileptic Seizures#852262
- Feature library for behavioural characterization of early and late seizures in an experimental model of post-traumatic epilepsy.#392947
- Evaluating Multimodal Large Language Models in Neuroradiology: Methodological Considerations.#345261
- Association of Processing Speed Dysfunction and Brain Functional Abnormality in ECTS#916392
- Predicting Momentary Suicidal Ideation From Smartphone Screenshots Using Vision-Language Models: Prospective Machine Learning Study.#1403
Record · ID 5500
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive