Work

Machine Learning Methods to Identify Pediatric Shunt Malfunction in the Acute Care Setting and the Development of ShuntGPT

Year: 2026

Type: article

Study design: Observational Study

Source: Neurosurgery

DOI: 10.1227/neu.0000000000003962

Authors: Kurt R. Lehner, Anita L. Kalluri, Kelly Jiang, Rama J. Alawneh, Ryan P. Lee, Foad Kazemi, Joan Yea, Sai Chandan Reddy, Jacob S. Shaw, Eric M. Jackson

Institutions: Johns Hopkins University, Johns Hopkins Medicine, Mutah University

Language: English

Topic: Cerebrospinal fluid and hydrocephalus

Subfield: Cellular and Molecular Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7129068428

FWCI: 2.349

Cites: 19

Cited by: 1

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