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Generative AI-enhanced nomogram predicts left without being seen among ambulance-transported emergency department patients

Year: 2025

Type: article

Study design: Observational Study

Source: The American Journal of Emergency Medicine

DOI: 10.1016/j.ajem.2025.11.010

Authors: Hao Wang, Emily Drone, Devin Sandlin, Spencer Heath, Christian Keller, Heidi Knowles, Usha Sambamoorthi

Institutions: John Peter Smith Hospital, JPS Health Network, University of North Texas Health Science Center

Language: English

Topic: Emergency and Acute Care Studies

Subfield: Emergency Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Institute on Minority Health and Health Disparities

Award: Texas Center for Health Disparities (TCHD)

OpenAlex ID: W4416544629

FWCI: 1.035

Cites: 19

Cited by: 1

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