Revolutionizing cross professional collaboration outcomes in TBI: emerging trends in diagnostics, personalized medicine, technological innovations and neurorehabilitation.

IF 4.5 Q1 Computer Science
Mubin Mustafa Kiyani, Shahid Bashir, Benish Shahzadi, Hamid Khan, Maisra Azhar Butt, Syed Ali Hussain, Turki Abualait
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引用次数: 0

Abstract

Traumatic brain injury (TBI) is still considered a major cause of morbidity and mortality worldwide, and its prevalence is increasing daily. TBI patients are facing difficult diagnostic, management, and rehabilitative challenges. This review article represents the most relevant recent findings in all areas of TBI concerning pathophysiology, diagnostics, therapeutics, rehabilitation approaches and neuroplasticity. In recent years, the diagnosis of TBI has improved more often due to advancements in neuroimaging, biomarkers, and artificial intelligence. Pharmacological treatments, stem cell therapy, and neuroprotective strategies are also associated with a wide range of therapeutic innovations that could open new fields of acute management. Consequently, practice has also changed, and cross professional treatments have been adopted with the aid of the latest technology for acute TBI recovery. TBI management faces multiple challenges in special populations, such as pediatric patients, elderly people, and soldiers. Personalized medicine, big data analytics, and global collaboration are emphasized as future research directions. This detailed study should serve to remind researchers and clinicians alike of the ongoing need for innovation to deliver better care pathways appropriate for TBI patients.

Abstract Image

Abstract Image

革命性的TBI跨专业合作成果:诊断、个性化医疗、技术创新和神经康复方面的新趋势。
外伤性脑损伤(TBI)仍然被认为是世界范围内发病率和死亡率的主要原因,其患病率日益增加。脑外伤患者面临着诊断、管理和康复方面的困难挑战。本文综述了创伤性脑损伤在病理生理学、诊断学、治疗学、康复方法和神经可塑性等各个领域的最新研究成果。近年来,由于神经影像学、生物标志物和人工智能的进步,TBI的诊断得到了更多的改善。药物治疗、干细胞治疗和神经保护策略也与广泛的治疗创新相关,这些创新可能开辟急性管理的新领域。因此,实践也发生了变化,在最新技术的帮助下,跨专业治疗已被用于急性TBI恢复。TBI的管理在特殊人群中面临着多重挑战,如儿科患者、老年人和士兵。个性化医疗、大数据分析、全球协同是未来的研究方向。这项详细的研究应该提醒研究人员和临床医生都需要不断创新,以提供适合TBI患者的更好的护理途径。
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来源期刊
Brain Informatics
Brain Informatics Computer Science-Computer Science Applications
CiteScore
9.50
自引率
0.00%
发文量
27
审稿时长
13 weeks
期刊介绍: Brain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational and informatics technologies related to brain. This journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics. It also welcomes emerging information technologies and advanced neuro-imaging technologies, such as big data analytics and interactive knowledge discovery related to various large-scale brain studies and their applications. This journal will publish high-quality original research papers, brief reports and critical reviews in all theoretical, technological, clinical and interdisciplinary studies that make up the field of brain informatics and its applications in brain-machine intelligence, brain-inspired intelligent systems, mental health and brain disorders, etc. The scope of papers includes the following five tracks: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing
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