Automatic phenotyping of emergency department patients with incidental hepatic steatosis: A machine learning clustering analysis.

doi:10.1016/j.ajem.2026.05.035

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Article

Automatic phenotyping of emergency department patients with incidental hepatic steatosis: A machine learning clustering analysis.

The American journal of emergency medicine - 1 Oct 2026

Jain Vedant S, Vong Tyrus, Thompson Valerie L, Lopez-Silva Carolina, Sequeira Lynette, Rizer Nicholas, Hinson Jeremiah S, Klein Eili, Copenhaver Martin S, Brookmeyer Claire, Purnell Tanjala, Woreta Tinsay, Strauss Alexandra T

Abstract excerpt

BACKGROUND: Incidental findings in the Emergency Department (ED) are often not acted upon due to acuity of care and lack of referral pathways. Artificial intelligence (AI) can be used to combine heterogeneous data collected during ED encounters to computationally identify patients with specific disease phenotypes allowing for directed care-paths. We identified ED patients with undiagnosed Metabolic...

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Identifiers

PMID: 42229200
DOI: 10.1016/j.ajem.2026.05.035
PMCID: PMC13312068

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.