Artificial Intelligence Techniques for Effective Detection of TBI From CT Scans- Novel Perspective in the Clinical Care of TBI Patients: A Systematic Review
Keywords:
Traumatic brain injury (TBI), CT scans, AI, ML, Deep learning models, SegmentationAbstract
Aim: To effectively detect traumatic brain injury (TBI) from CT scans and determine their possible effects on clinical care, artificial intelligence (AI) techniques are now being researched. This systematic review intends to examine the present state of that research.
Theoretical Background: The most prevalent cause of mortality and disability worldwide is TBI, also referred to as traumatic brain injury. Traumatic brain injury (TBI) therapeutic care continues to face difficulties due to the requirement for early and accurate identification. The ability of traditional methods of detection, such as CT scans, to provide an accurate diagnosis of traumatic brain injury (TBI), is limited. Artificial intelligence (AI) has been used in recent years to make TBI detection faster and more accurate. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the goal of this systematic review is to find out how AI approaches can be used in the clinic to find TBI patients.
Methods/ Approaches: A comprehensive search was conducted across major scientific databases, resulting in the identification of 55 relevant studies published up to the present date. These studies incorporated various AI methodologies, including deep learning, machine learning, and computer vision algorithms, for TBI detection using CT scans. Quality assessment and data extraction were performed systematically to ensure rigour and consistency.
Conclusion: In conclusion, this systematic review underlines the transformative impact of AI techniques in TBI detection from CT scans, presenting a novel perspective in the clinical care of TBI patients. AI holds great promise in optimizing TBI diagnosis, streamlining clinical workflows, and enhancing patient outcomes. As AI technologies advance, collaborative efforts between researchers, clinicians, and policymakers are essential to establish guidelines, address challenges, and ensure the ethical and responsible integration of AI in TBI patient care.
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