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Artificial Intelligence Applications for Traumatic Brain Injury Research and Clinical Management

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Neurobiological and Psychological Aspects of Brain Recovery

Part of the book series: Contemporary Clinical Neuroscience ((CCNE))

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Abstract

Artificial Intelligence (AI) is changing the world’s technology in the twenty-first century, impacting both scientific research and clinical practice. AI can help us better understand pathological states by addressing the challenges posed by complex data. Traumatic Brain Injury (TBI) is characterized by a strong heterogeneity, and AI can manage it and impact patient care by aiding decision-making. What will the patient’s outcome be? Is he at risk of death? Can AI enable time-saving procedures, increasing the chance of a positive clinical outcome? AI’s role in TBI research is to determine the most critical hallmarks for assessing recovery, to characterize homogeneous subgroups, and to guide advanced therapeutics tools. Here we describe how AI can address these crucial tasks and improve clinical strategies for TBI patients. The application of such findings will revolutionize diagnosis and treatments, enhancing health and life quality for people in need.

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Authors and Affiliations

  1. Data Science Unit, IRCCS Fondazione Santa Lucia, Rome, Italy

    Carlo Fabrizio & Andrea Termine

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  1. Carlo Fabrizio
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  2. Andrea Termine
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Correspondence to Carlo Fabrizio .

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  1. Santa Lucia Foundation IRCCS, Rome, Italy

    Laura Petrosini

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Fabrizio, C., Termine, A. (2023). Artificial Intelligence Applications for Traumatic Brain Injury Research and Clinical Management. In: Petrosini, L. (eds) Neurobiological and Psychological Aspects of Brain Recovery. Contemporary Clinical Neuroscience. Springer, Cham. https://doi.org/10.1007/978-3-031-24930-3_18

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