Systematic review and meta-analysis of machine learning models predicting massive hemorrhage protocol in trauma

Gemma Postill; Anglin Dent; Richard Cheng; Anton Nikouline; Teruko Kishibe; Melissa McGowan; Jethro C. C. Kwong; Brodie Nolan

doi:10.1038/s41598-026-49472-5

Systematic review and meta-analysis of machine learning models predicting massive hemorrhage protocol in trauma

G Gemma Postill A Anglin Dent R Richard Cheng A Anton Nikouline T Teruko Kishibe M Melissa McGowan J Jethro C. C. Kwong B Brodie Nolan (Department of Emergency Medicine, St. Michael’s Hospital, Toronto)

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 16, Issue 1

Published May 20, 2026

DOI 10.1038/s41598-026-49472-5

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

G

Gemma Postill

A

Anglin Dent

R

Richard Cheng

A

Anton Nikouline

T

Teruko Kishibe

M

Melissa McGowan

J

Jethro C. C. Kwong

B

Brodie Nolan

Department of Emergency Medicine, St. Michael’s Hospital, Toronto

Systematic review and meta-analysis of machine learning models predicting massive hemorrhage protocol in trauma

Article Details

Journal Info

Authors (8)

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