Application of supervised learning-based artificial intelligence models to predict critical outcomes in acute poisoning: A scoping review protocol

OSF Preprints (OSF Preprints) 2026 Preprint Open access

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Authors: Sharon Padilla, Julie Isabel Zapata García, Manuel Alejandro Berbeo
DOI: 10.17605/osf.io/kqxv4
Cited by: 0

Abstract

The objective of this scoping review is to map and synthesize the global scientific evidence regarding the development, validation, and implementation of supervised machine learning models used to predict critical clinical outcomes—such as mortality, severity, and ICU requirement—in patients with acute xenobiotic poisoning

Fields of Study & Subjects

Poisoning and overdose treatments Artificial Intelligence in Healthcare Machine Learning in Healthcare

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
1 January 2026
Language
EN
Document type
Preprint