International Journal of Clinical Case Reports, 2025, Vol.15, No.6, 259-270 http://medscipublisher.com/index.php/ijccr 268 countermeasures. Intelligent early warning models built on machine learning and multiple types of data can also provide assistance for clinical decision-making and resource allocation. As these systems continue to improve, the care team can provide more precise, proactive and patient-centered care services, thereby enhancing the neurological recovery of survivors of cardiac arrest. Acknowledgments The author extends sincere thanks to MedSci Publisher for his feedback on the manuscript. Conflict of Interest Disclosure The author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. 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