Machine Learning Models for Predicting Abnormal Brain CT Scan Findings in Mild Traumatic Brain Injury Patients.
XGBoost and Random Forest achieved high predictive accuracy, sensitivity, and specificity. GCS, SpO2, and respiratory rate were key predictors. These models may reduce unnecessary CT scans and optimize resource use. Further multicenter validation is needed to confirm their clinical utility.
Authors
- Gholamreza Faridaalaee (ORCID: https://orcid.org/0000-0002-9990-4936)
- Seyed Ali Forouzannia (ORCID: https://orcid.org/0000-0003-1371-7820)
- Alireza Baratloo (ORCID: https://orcid.org/0000-0002-4383-7738)
- Seyedeh Niloufar Rafiei Alavi (ORCID: https://orcid.org/0000-0001-5323-1708)
- Amirmohammad Toloui (ORCID: https://orcid.org/0000-0002-9809-0985)
- Amir Azimi (ORCID: https://orcid.org/0000-0002-8317-7009)
- Shayan Roshdi Dizaji (ORCID: https://orcid.org/0000-0003-4119-2996)
- Saeed Safari (ORCID: https://orcid.org/0000-0002-7407-1739)
- Seyed Mohammad Forouzannia (ORCID: https://orcid.org/0000-0003-2554-2191)
- Hamed Zarei (ORCID: https://orcid.org/0000-0002-2170-079X)
- Mostafa Hosseini (ORCID: https://orcid.org/0000-0002-1334-246X)
- Amir Ghaffari Jolfayi (ORCID: https://orcid.org/0000-0002-9223-5565)
- Mohammadreza Alizadeh (ORCID: https://orcid.org/0000-0002-4618-1586)
- Mahmoud Yousefifard (ORCID: https://orcid.org/0000-0001-5181-4985)
- Rosita Khatamian Oskooi
- Hadis Najafimehr (ORCID: https://orcid.org/0000-0002-7592-0229)
- Arash Ansarian
Institutions
- Iran University of Medical Sciences (IR)
- Gold Coast Hospital (AU)
- Shaheed Rajaei Cardiovascular Medical and Research Center (IR)
- Shahid Beheshti University of Medical Sciences (IR)
- Tehran University of Medical Sciences (IR)
- Birjand University of Medical Sciences (IR)
Publication Details
- Journal
- PubMed
- Published
- 2025-01-01
- DOI
- https://doi.org/10.22037/aaemj.v13i1.2709
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00