Cureus, Год журнала: 2024, Номер unknown
Опубликована: Сен. 20, 2024
The Rotterdam scale is one of the most commonly used radiological scales for evaluating and predicting outcomes in traumatic brain injury (TBI) cases. Given evolving nature TBI, our study designed to compare score computed tomography (CT) findings upon admission (Rotterdam I) with after 72 hours II) treatment trauma intensive care unit (ICU).
Язык: Английский
Nano-Micro Letters, Год журнала: 2024, Номер 16(1)
Опубликована: Авг. 14, 2024
Abstract As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are often troubled by their cross-sensitivity, and reducing cross-response to ambient gases has always been a difficult important point in the sensing area. Pattern recognition based on sensor array is most conspicuous way overcome cross-sensitivity of sensors. It crucial choose an appropriate pattern method enhancing data analysis, errors improving system reliability, obtaining better classification or concentration prediction results. In this review, we analyze mechanism We further examine types, working principles, characteristics, applicable detection range algorithms utilized gas-sensing arrays. Additionally, report, summarize, evaluate outstanding novel advancements methods identification. At same time, work showcases recent utilizing these identification, particularly within three domains: ensuring food safety, monitoring environment, aiding medical diagnosis. conclusion, study anticipates future research prospects considering existing landscape challenges. hoped that will make positive contribution towards mitigating gas-sensitive devices offer valuable insights algorithm selection applications.
Язык: Английский
Процитировано
26
Journal of Neuroinflammation, Год журнала: 2025, Номер 22(1)
Опубликована: Янв. 21, 2025
Abstract Central nervous system (CNS) injuries, such as ischemic stroke (IS), intracerebral hemorrhage (ICH) and traumatic brain injury (TBI), are a significant global burden. The complex pathophysiology of CNS is comprised primary secondary injury. Inflammatory incited by damage-associated molecular patterns (DAMPs) which signal variety resident cells infiltrating immune cells. Extracellular cold-inducible RNA-binding protein (eCIRP) DAMP acts through multiple non-immune to promote inflammation. Despite the well-established role eCIRP in systemic sterile inflammation, its less elucidated. Recent literature suggests that pleiotropic inflammatory mediator also being evaluated clinical biomarker indicate prognosis injuries. This review provides broad overview injury, with focus on immune-mediated neuroinflammation. We then what known about mechanisms both non-CNS cells, identifying opportunities for further study. explore eCIRP’s potential prognostic marker severity outcome. Next, we provide an eCIRP-targeting therapeutics suggest strategies develop these agents ameliorate Finally, emphasize exploring novel mechanisms, aside from neuroinflammation, critical therapeutic target
Язык: Английский
Процитировано
2
Nano Energy, Год журнала: 2023, Номер 118, С. 108965 - 108965
Опубликована: Окт. 4, 2023
Язык: Английский
Процитировано
40
International Journal of Medical Informatics, Год журнала: 2023, Номер 180, С. 105274 - 105274
Опубликована: Ноя. 1, 2023
Motivation and objective: Emergency medicine is becoming a popular application area for artificial intelligence methods but remains less investigated than other healthcare branches. The need time-sensitive decision-making on the basis of high data volumes makes use quantitative technologies inevitable. However, specifics regulations impose strict requirements such applications. Published contributions cover separate parts emergency disparate algorithms. This study aims to systematize relevant contributions, investigate main obstacles applications in medicine, propose directions further studies. Methods: selection process was conducted with systematic electronic databases querying filtering respect established exclusion criteria. Among 380 papers gathered from IEEE Xplore, ACM Digital Library, Springer ScienceDirect, Nature 116 were considered be part survey. features selected are focus machine learning or deep Findings discussion: classified into two branches: diagnostics-specific triage-specific. former ones focused either diagnosis prediction decision support. latter covers as mortality, outcome, admission prediction, condition severity estimation, urgent care prediction. observed highly specialized within single disease medical operation often privately collected retrospective data, making them incomparable. These issues can addressed by creating an end-to-end solution based human-machine interaction. Conclusion: Artificial finding their place while most corresponding studies remain isolated lack higher generalization more sophisticated methodology, which matter forthcoming improvements.
Язык: Английский
Процитировано
22
Neurosurgical Review, Год журнала: 2024, Номер 47(1)
Опубликована: Июнь 26, 2024
Язык: Английский
Процитировано
6
Trauma Care, Год журнала: 2024, Номер 4(1), С. 31 - 43
Опубликована: Янв. 29, 2024
In this narrative review, we explore the evolving role of machine learning (ML) in diagnosis, prognosis, and clinical management traumatic brain injury (TBI). The increasing prevalence TBI necessitates advanced techniques for timely accurate ML offers promising tools to meet challenge. Current research predominantly focuses on integrating data, patient demographics, lab results, imaging findings, but there remains a gap fully harnessing potential image features. While advancements have been made areas such as subdural hematoma segmentation prognosis prediction, translation these into practice is still its infancy. This further compounded by challenges related data privacy, clinician trust, interoperability various health systems. Despite hurdles, FDA-approved applications their subsequent results underscore revolutionizing care. review concludes emphasizing importance bridging between theoretical real-world application necessity addressing ethical privacy implications healthcare.
Язык: Английский
Процитировано
4
Applied Neuropsychology Adult, Год журнала: 2024, Номер unknown, С. 1 - 28
Опубликована: Июнь 24, 2024
Neuropsychological rehabilitation plays a critical role in helping those recovering from brain injuries restore cognitive and functional abilities. Artificial Intelligence, with its potential, may revolutionize this field further; therefore, article explores applications of AI for neuropsychological patients suffering injuries. This study employs systematic review methodology to comprehensively existing literature regarding Intelligence use people The follows the Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines. A search electronic databases (PubMed, Scopus, PsycINFO, etc.) showed total 212 potentially relevant articles. After removing duplicates screening titles abstracts, 186 articles were selected assessment. Following assessment, 55 met inclusion criteria included review. thematic analysis approach is employed analyze synthesize extracted data. Themes, patterns, trends are identified across studies, allowing comprehensive understanding applicability topics were: Applications Diagnostics Brain Injuries their Repercussions; Personalization Monitoring Rehabilitation traumatic injury (TBI); Leveraging Predicting Optimizing Outcomes TBI Patients. Based on review, it was concluded that has potential enhance By leveraging techniques, personalized programs can be developed, treatment outcomes predicted, interventions optimized.
Язык: Английский
Процитировано
4
Nanotechnology, Год журнала: 2025, Номер 36(13), С. 135101 - 135101
Опубликована: Янв. 14, 2025
Accurate and rapid diagnosis of traumatic brain injury (TBI) is very important for high quality medical services. Nonetheless, the current diagnostic platform still has challenges in accurate analysis clinical samples. Here, we prepared a highly stable, repeatable sensitive gold-plated silver core-shell nanowire (Ag@AuNWs) surface-enhanced Raman spectroscopy (SERS) metabolic fingerprint TBI. The structure significantly enhanced SERS intensity enables direct detection 10μl serum within seconds. principal component analysis-linear discriminant (PCA-LDA) partial least squares-DA (PLS-DA) are used to evaluate classification effect this technology on TBI, respectively. accuracy rate PCA-LDA PLS-DA 73.3% 86.7% diagnosing Consequently, model optimal selection distinguishing between TBI sham groups. This research will facilitate application-oriented creation novel materials with tailored structural designs formulation innovative precision protocols imminent future.
Язык: Английский
Процитировано
0
Indian Journal of Neurotrauma, Год журнала: 2025, Номер unknown
Опубликована: Фев. 10, 2025
Язык: Английский
Процитировано
0
Life, Год журнала: 2025, Номер 15(3), С. 424 - 424
Опубликована: Март 7, 2025
Traumatic brain injury (TBI) is a leading cause of disability and death globally, presenting significant challenges for diagnosis, prognosis, treatment. As healthcare technology advances, artificial intelligence (AI) has emerged as promising tool in enhancing TBI rehabilitation outcomes. This literature review explores the current potential applications AI management, focusing on AI’s role diagnostic tools, neuroimaging, prognostic modeling, programs. AI-driven algorithms have demonstrated high accuracy predicting mortality, functional outcomes, personalized strategies based patient data. models been developed to predict in-hospital mortality patients up an 95.6%. Furthermore, enhances neuroimaging by detecting subtle abnormalities that may be missed human radiologists, expediting diagnosis treatment decisions. Despite these ethical considerations, including biases data generalizability, pose must addressed optimize implementation clinical settings. highlights key trials future research directions, emphasizing transformative improving care, rehabilitation, long-term outcomes patients.
Язык: Английский
Процитировано
0