ReviewLife (Basel, Switzerland)2025
Traumatic Brain Injury and Artificial Intelligence: Shaping the Future of Neurorehabilitation-A Review.
Review in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Global diagnostic accuracy and prognostic value of non-contrast CT in acute traumatic brain injury: a systematic review and meta-analysis.Emergency radiology · 2026Pooled it
- Systematic Review of Artificial Intelligence Applications in Clinical Trials for Central Nervous System Injuries.Current neuropharmacology · 2026Pooled it
- Large Language Model Decision Support for Cranial CT in Pediatric Head Trauma.Diagnostics (Basel, Switzerland) · 2026Article
- Future Directions and Evolution Strategies for the Clinical Management of Traumatic Brain Injury.Journal of clinical medicine · 2026Article
- Volume over location: MRI lesion mapping in moderate to severe TBI prognosis.European radiology · 2026Article
- From Mechanisms to Meaningful Recovery: Integrating Biology, Technology, and Ethics in Traumatic Brain Injury Care.Life (Basel, Switzerland) · 2026Article
- Multifunctional Nanoparticles in Traumatic Brain Injury: From Targeted Imaging and Diagnosis to Innovative Therapeutics.International journal of nanomedicine · 2026Review
- Advances in biomarkers for diagnosing and prognosticating disorders of consciousness.Frontiers in neuroscience · 2026Review
- Rehabilitation strategies for long COVID: integrating human factors engineering.Frontiers in rehabilitation sciences · 2026Review
- White Matter Tract Integrity and Cognitive, Emotional, and Social Outcomes After Acquired Brain Injury: Exploratory Tractography Findings for Personalized Neurorehabilitation.Life (Basel, Switzerland) · 2025Article
- The Glymphatic-Venous Axis in Brain Clearance Failure: Aquaporin-4 Dysfunction, Biomarker Imaging, and Precision Therapeutic Frontiers.International journal of molecular sciences · 2025Review
- CRISPR and Artificial Intelligence in Neuroregeneration: Closed-Loop Strategies for Precision Medicine, Spinal Cord Repair, and Adaptive Neuro-Oncology.International journal of molecular sciences · 2025Review
- Artificial intelligence in traumatic brain injury: Brain imaging analysis and outcome prediction: A mini review.World journal of critical care medicine · 2025Review
- Traumatic brain injury management in the intensive care unit: standard of care and knowledge gaps.Intensive care medicine · 2025Review
- Traumatic Brain Injury: Novel Experimental Approaches and Treatment Possibilities.Life (Basel, Switzerland) · 2025Review
- Artificial Intelligence Advancements in Oncology: A Review of Current Trends and Future Directions.Biomedicines · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traumatic brain injury (TBI) is a leading cause of disability and death globally, presenting significant challenges for diagnosis, prognosis, and treatment. As healthcare technology advances, artificial intelligence (AI) has emerged as a promising tool in enhancing TBI rehabilitation outcomes. This literature review explores the current and potential applications of AI in TBI management, focusing on AI's role in diagnostic tools, neuroimaging, prognostic modeling, and rehabilitation programs. AI-driven algorithms have demonstrated high accuracy in predicting mortality, functional outcomes, and personalized rehabilitation strategies based on patient data. AI models have been developed to predict in-hospital mortality of TBI patients up to an accuracy of 95.6%. Furthermore, AI enhances neuroimaging by detecting subtle abnormalities that may be missed by human radiologists, expediting diagnosis and treatment decisions. Despite these advances, ethical considerations, including biases in AI algorithms and data generalizability, pose challenges that must be addressed to optimize AI's implementation in clinical settings. This review highlights key clinical trials and future research directions, emphasizing AI's transformative potential in improving patient care, rehabilitation, and long-term outcomes for TBI patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.