Predicting the Severity of Postoperative Symptoms Following Mandibular Third Molar Extractions Using Machine Learning Techniques

A GBM-based nomogram provides moderate yet clinically useful discrimination for healthy adults aged 18-35 years at risk for severe early symptoms after third-molar extraction. However, this approach requires external validation in older or medically complex patients before it is recommended for clinical predictions.

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Publication Details

Journal
Annali Italiani di Chirurgia
Published
2026-01-09
DOI
https://doi.org/10.62713/aic.4090
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting the Severity of Postoperative Symptoms Following Mandibular Third Molar Extractions Using Machine Learning Techniques

Jiayue Xiang, Yiming Gao, Qianqian Hou, Huan Ge
Annali Italiani di Chirurgia
Dental Radiography and Imaging
article

Predicting the Severity of Postoperative Symptoms Following Mandibular Third Molar Extractions Using Machine Learning Techniques

Jiayue Xiang, Yiming Gao, Qianqian Hou, Huan Ge
article en

Abstract

A GBM-based nomogram provides moderate yet clinically useful discrimination for healthy adults aged 18-35 years at risk for severe early symptoms after third-molar extraction. However, this approach requires external validation in older or medically complex patients before it is recommended for clinical predictions.

Annali Italiani di ChirurgiaVol. 97(1)
Ruijin Hospital (CN), Shanghai Stomatological Hospital (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 93%
Dental Radiography and Imaging
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