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Machine learning for burned wound management.

作者信息

Feizkhah Alireza, Mobayen Mohammadreza, Ghazanfari Mohammad Javad, Bagheri Toolaroud Parissa, Ghorbani Vajargah Pooyan, Mollaei Amirabbas, Falakdami Atefeh, Takasi Poorya, Karkhah Samad

机构信息

Burn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran; Department of Medical Physics, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.

Burn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran.

出版信息

Burns. 2022 Aug;48(5):1261-1262. doi: 10.1016/j.burns.2022.04.002. Epub 2022 Apr 15.

DOI:10.1016/j.burns.2022.04.002
PMID:35501174
Abstract
摘要

相似文献

1
Machine learning for burned wound management.用于烧伤创面管理的机器学习
Burns. 2022 Aug;48(5):1261-1262. doi: 10.1016/j.burns.2022.04.002. Epub 2022 Apr 15.
2
Predicting the Ability of Wounds to Heal Given Any Burn Size and Fluid Volume: An Analytical Approach.给定任意烧伤面积和补液量时预测伤口愈合能力：一种分析方法。
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3
Machine learning in burn care and research: A systematic review of the literature.烧伤护理与研究中的机器学习：文献系统综述
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4
Effect of low-intensity therapeutic ultrasound on wound healing in rats subjected to third-degree burns.低强度治疗性超声对三度烧伤大鼠伤口愈合的影响。
Acta Cir Bras. 2016 Jan;31(1):36-43. doi: 10.1590/S0102-865020160010000006.
5
[Care of the burned wound].[烧伤创面的护理]
Hu Li Za Zhi. 1979 Jan;26(1):1-5.
6
A systematic review of machine learning and automation in burn wound evaluation: A promising but developing frontier.机器学习和自动化在烧伤创面评估中的系统评价：一个充满希望但尚在发展中的前沿领域。
Burns. 2021 Dec;47(8):1691-1704. doi: 10.1016/j.burns.2021.07.007. Epub 2021 Jul 15.
7
[Characteristics of the course of the wound process with different methods for the detoxication of the severely burned].[不同方法对严重烧伤进行解毒处理时伤口愈合过程的特点]
Klin Khir (1962). 1987(3):7-8.
8
The struggle to differentiate inflammation from infection in severely burned patients: time to send better biomarkers into the arena?在严重烧伤患者中区分炎症与感染的难题：是时候将更好的生物标志物引入这个领域了吗？
Crit Care. 2016 Jan 20;20:13. doi: 10.1186/s13054-016-1194-8.
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Our initial learning curve in the enzymatic debridement of severely burned hands-Management and pit falls of initial treatments and our development of a post debridement wound treatment algorithm.我们在严重烧伤手部酶促清创方面的初步学习曲线——初始治疗的管理与陷阱以及我们清创后伤口治疗算法的制定。
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Biobrane improves wound healing in burned children without increased risk of infection.生物膜可改善烧伤儿童的伤口愈合，且不会增加感染风险。
Shock. 2000 Sep;14(3):314-8; discussion 318-9. doi: 10.1097/00024382-200014030-00013.

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老年患者烧伤创面愈合过程中免疫分子活性的预测：计算机模拟分析：实验研究
Ann Med Surg (Lond). 2024 Apr 16;86(7):3972-3983. doi: 10.1097/MS9.0000000000002055. eCollection 2024 Jul.
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Review of machine learning for optical imaging of burn wound severity assessment.机器学习在烧伤创面严重程度评估光学成像中的应用综述。
J Biomed Opt. 2024 Feb;29(2):020901. doi: 10.1117/1.JBO.29.2.020901. Epub 2024 Feb 15.
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Prevalence of anxiety and its risk factors in burn patients: A systematic review and meta-analysis.烧伤患者焦虑的患病率及其危险因素：系统评价和荟萃分析。
Int Wound J. 2024 Feb;21(2):e14705. doi: 10.1111/iwj.14705.
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Antibiofilm and antimicrobial activity of Lactobacillus cell free supernatant against Pseudomonas aeruginosa isolated from burn wounds.乳酸菌无细胞上清液对烧伤创面分离的铜绿假单胞菌的抗生物膜和抗菌活性。
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Prevalence of non-accidental burns and related factors in children: A systematic review and meta-analysis.儿童非意外伤害性烧伤的患病率及相关因素：系统评价和荟萃分析。
Int Wound J. 2023 Nov;20(9):3855-3870. doi: 10.1111/iwj.14236. Epub 2023 May 24.
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Perceived stigmatisation and reliability of questionnaire in the survivors with burns wound: A systematic review and meta-analysis.烧伤幸存者感知的污名化和问卷的可靠性：系统评价和荟萃分析。
Int Wound J. 2023 Oct;20(8):3391-3403. doi: 10.1111/iwj.14176. Epub 2023 Apr 4.
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A systematic review of medical science students' knowledge and related factors towards burns first aids.医学专业学生烧伤急救知识及相关因素的系统评价
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A systematic review of social support and related factors among burns patients.烧伤患者社会支持及相关因素的系统评价
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