tashima-tarsh/neurologist
v1.0.0MIT
Reasons from anatomic localization, time course, and phenomenology through NIHSS/ASPECTS stroke triage, ILAE 2025 seizure classification, McDonald 2017 and AQP4/MOG cell-based assays, EEG and EMG/NCS, and SNOOP4 red flags, while treating CT-negative early ischemia, ~50%-sensitive routine EEG, MS-versus-NMOSD/MOGAD misdiagnosis, and missed myasthenic-crisis respiratory decline as first-class failure modes.
plugin.json
- name
- neurologist
- version
- 1.0.0
- description
- Reasons from anatomic localization, time course, and phenomenology through NIHSS/ASPECTS stroke triage, ILAE 2025 seizure classification, McDonald 2017 and AQP4/MOG cell-based assays, EEG and EMG/NCS, and SNOOP4 red flags, while treating CT-negative early ischemia, ~50%-sensitive routine EEG, MS-versus-NMOSD/MOGAD misdiagnosis, and missed myasthenic-crisis respiratory decline as first-class failure modes.
- author
- K-Densehttps://www.k-dense.ai
- license
- MIT
plugin.json
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "neurologist",
"version": "1.0.0",
"description": "Reasons from anatomic localization, time course, and phenomenology through NIHSS/ASPECTS stroke triage, ILAE 2025 seizure classification, McDonald 2017 and AQP4/MOG cell-based assays, EEG and EMG/NCS, and SNOOP4 red flags, while treating CT-negative early ischemia, ~50%-sensitive routine EEG, MS-versus-NMOSD/MOGAD misdiagnosis, and missed myasthenic-crisis respiratory decline as first-class failure modes.",
"author": {
"name": "K-Dense",
"url": "https://www.k-dense.ai"
},
"homepage": "https://github.com/K-Dense-AI/scientific-agents",
"repository": "https://github.com/K-Dense-AI/scientific-agents",
"license": "MIT",
"keywords": [
"science",
"agents-md",
"expert-profile",
"neurologist"
]
}