This narrative review by Mubin et al. explores emerging trends and interdisciplinary strategies in diagnosis, treatment, and rehabilitation in traumatic brain injury (TBI) research. The findings describe diagnostic advances including more sensitive CT and MRI techniques, integration of metabolism analysis with PET, and the use of biomarkers such as S100B and GFAP to assess TBI severity and monitor outcomes. Machine learning is improving imaging data analysis thereby enhancing diagnostic accuracy and efficiency. Further modalities like functional near-infrared spectroscopy (fNIRS) and fMRI have improved real-time insights into cerebral hemodynamics with potential to tailor rehabilitation to individual patients. Therapeutic innovations in treatment and therapy, such as neuroprotective drugs, stem cell therapy, and multidisciplinary rehabilitation strategies, including neurofeedback devices and augmented reality, were shown to improve personalized acute and long-term recovery. In the conclusion, the authors stated that progress in TBI research will be driven by global collaboration and personalized interdisciplinary strategies that prioritize patient-centered care.