Evaluation of anthropometric and ultrasonographic measurements with different machine learning methods in predicting difficult intubation: a prospective observational study

Authors

Gizem Demir Şenoğlu (ORCID: https://orcid.org/0000-0001-9173-2271)
Serdar KIRIŞOĞLU (ORCID: https://orcid.org/0000-0002-4416-6657)
Ezgi Kara Timuçin (ORCID: https://orcid.org/0000-0003-1596-3427)

Institutions

Düzce Üniversitesi (TR)

Publication Details

Journal: BMC Anesthesiology
Published: 2025-10-14
DOI: https://doi.org/10.1186/s12871-025-03370-x
Primary Topic: Airway Management and Intubation Techniques
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Düzce Üniversitesi

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article

Evaluation of anthropometric and ultrasonographic measurements with different machine learning methods in predicting difficult intubation: a prospective observational study

Gizem Demir Şenoğlu, Serdar KIRIŞOĞLU, Ezgi Kara Timuçin

Oct 14, 2025

BMC Anesthesiology

Airway Management and Intubation Techniques

article

Evaluation of anthropometric and ultrasonographic measurements with different machine learning methods in predicting difficult intubation: a prospective observational study

Gizem Demir Şenoğlu, Serdar KIRIŞOĞLU, Ezgi Kara Timuçin

October 14, 2025article en

Abstract

No abstract available for this paper.

BMC AnesthesiologyVol. 25(1)

Düzce Üniversitesi (TR)

Düzce Üniversitesi

Openalex Percentile: Top 54%

Airway Management and Intubation Techniques

DOI Open Access PDF OpenAlex

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Evaluation of anthropometric and ultrasonographic measurements with different machine learning methods in predicting difficult intubation: a prospective observational study — Gizem Demir Şenoğlu, Serdar KIRIŞOĞLU, et al. · BMC Anesthesiology (2025) | TGRS Research Map | TGRS