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Date Published: 28/09/2025
Abstract Views: 13
Views PDF: 30
DOI: https://doi.org/10.56535/jmpm.v50i7.1431
Issue
Vol. 50 No. 7 (2025): TẠP CHÍ Y DƯỢC HỌC QUÂN SỰ SỐ 7 - 2025
Section
Articles
How to Cite
Nguyễn, T. B., Trịnh, V. T., Nguyễn, H. K., Hoàng, Đ. T., Nguyễn, T. B., Lộc, V. P., Lý, T. M. A., Đàm, V. M., & Nguyen, X. P. (2025). INITIAL APPLICATION OF ARTIFICIAL INTELLIGENCE IN PROGNOSIS OF TRAUMATIC BRAIN INJURY PATIENTS. Journal of Military Pharmaco-medicine, 50(7), 258-264. https://doi.org/10.56535/jmpm.v50i7.1431

INITIAL APPLICATION OF ARTIFICIAL INTELLIGENCE IN PROGNOSIS OF TRAUMATIC BRAIN INJURY PATIENTS

Thành Bắc Nguyễn1, Văn Trung Trịnh1, Hữu Khanh Nguyễn1, Đức Thịnh Hoàng2, Thành Biên Nguyễn2, Văn Phú Lộc2, Thị Mai Anh Lý2, Văn Minh Đàm2, Nguyen Xuan Phuong1,
1 Bệnh viện Quân y 103, Học viện Quân y
2 Học viện Quân y

Main Article Content

Abstract

Objectives: To compare the prognostic capability of artificial intelligence (AI) with that of surgeons in traumatic brain injury (TBI) patients, and assess AI's correlation with discharge and 1-month outcomes. Methods: Prospective study on 75 TBI patients at 103 Military Hospital from August 1, 2023, to April 1, 2024. Prognoses were provided by surgeons and AI software. Results: AI demonstrated 89.3% accuracy, 76.2% sensitivity, and 94.4% specificity, significantly correlating with discharge and 1-month GOS outcomes (AUC 0.85 and 0.91, P<0.05). Surgeons tended to classify cases as more severe (OR 1.67), but the difference was not significant (P>0.05). Conclusion: AI shows promise for prognostication in TBI patients.

Article Details

Keywords

Machine learning, Artificial intelligence, Traumatic brain injury

References

1. Demlie TA, Alemu MT, Messelu MA, Wagnew F, Mekonen EG. Incidence and predictors of mortality among traumatic brain injury patients admitted to Amhara region Comprehensive Specialized Hospitals, northwest Ethiopia, 2022. BMC Emerg Med. May 24 2023; 23(1):55. DOI: 10.1186/s12873-023-00823-9.
2. Asim M, El-Menyar A, Parchani A, et al. Rotterdam and Marshall Scores for Prediction of in-hospital mortality in patients with traumatic brain injury: An observational study. Brain Inj. Jun 7 2021; 35(7):803-811. DOI: 10.1080/ 02699052.2021.1927181
3. Rau CS, Kuo PJ, Chien PC, Huang CY, Hsieh HY, Hsieh CH. Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models. PLoS One. 2018; 13(11):e0207192. DOI: 10.1371/journal.pone.0207192
4. Hanko M, Grendar M, Snopko P, et al. Random forest-based prediction of outcome and mortality in patients with traumatic brain injury undergoing primary decompressive craniectomy. World Neurosurg. Apr 2021; 148:e450-e458. DOI: 10.1016/j.wneu.2021.01.002
5. Courville E, Kazim SF, Vellek J, et al. Machine learning algorithms for predicting outcomes of traumatic brain injury: A systematic review and meta-analysis. Surg Neurol Int. 2023; 14:262. DOI: 10.25259/SNI_312_2023
6. Feng JZ, Wang Y, Peng J, Sun MW, Zeng J, Jiang H. Comparison between logistic regression and machine learning algorithms on survival prediction of traumatic brain injuries. J Crit Care. Dec 2019; 54:110-116. DOI: 10.1016/ j.jcrc.2019.08.010 .