Reduced Neurological Burnout in the ER Utilizing Advanced Sophisticated Large Language Model (P1-2.001)

To assess if large language model (LLM) can generate professional medical discharge report from the Emergency Department (ED) for neurological patients.

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Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000211760
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Reduced Neurological Burnout in the ER Utilizing Advanced Sophisticated Large Language Model (P1-2.001)

Shahar Shelly, Alon Gorenshtein, Moran Sorka, Shiri Fistel
1 citations
Neurology
Artificial Intelligence in Healthcare and Education
0.65
article

Reduced Neurological Burnout in the ER Utilizing Advanced Sophisticated Large Language Model (P1-2.001)

Shahar Shelly, Alon Gorenshtein, Moran Sorka, Shiri Fistel
article en
1 citations

Abstract

To assess if large language model (LLM) can generate professional medical discharge report from the Emergency Department (ED) for neurological patients.

NeurologyVol. 104(7_Supplement_1)
Technion – Israel Institute of Technology (IL), Rambam Health Care Campus (IL)
Quality Education
Openalex Percentile: Top 26%
Artificial Intelligence in Healthcare and Education
0.65
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