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Article

Systematic review and meta-analysis of artificial intelligence models for diagnosing and subphenotyping ARDS in adults.

Heart & lung : the journal of critical care - 1 Jan 2026

Muñoz Javier, Ruíz-Cacho Rocío, Fernández-Araujo Nerio José, Candela Alberto, Visedo Lourdes Carmen, Muñoz-Visedo Javier

Abstract excerpt

BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool to improve the diagnosis and characterization of ARDS, including the identification of subphenotypes. OBJECTIVES: To evaluate the diagnostic performance and methodological quality of AI models for identifying ARDS and its subphenotypes in adults. METHODS: We conducted a systematic review and meta-analysis of 63 studies (n = 135,762)...

Read the complete abstract on PubMed

Topics

Humans
Respiratory Distress Syndrome
Artificial Intelligence
Adult
Phenotype

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Identifiers

PMID: 41037977
DOI: 10.1016/j.hrtlng.2025.09.017

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