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[THE PRECISION APPROACH IN CONTEMPORARY NEUROSURGICAL PRACTICE: A REVIEW]
Y G Annikov1, A A Chekhonatskiy1, N E Komleva1,2
1The Federal State Budget Educational Institution of Higher Education "The V. I. Razumovsky Saratov State Medical University of Minzdrav of Russia", 410012, Saratov, Russia.
Problemy Sotsial'Noi Gigieny, Zdravookhraneniia I Istorii Meditsiny
|February 22, 2026
Summary
Precision medicine and AI enhance neurosurgery by improving understanding of brain tumors and neuro-trauma. This approach offers personalized therapies and aids rapid decision-making for better patient outcomes.
Area of Science:
- Neurosurgery
- Oncology
- Neuroscience
- Medical Informatics
Background:
- Precision medicine and artificial intelligence (AI) are revolutionizing healthcare.
- Understanding complex diseases like neuro-oncology and neuro-trauma requires advanced analytical methods.
Purpose of the Study:
- To review the significance and future perspectives of precision medicine in neurosurgery.
- To highlight the role of AI and Big Data in advancing neurosurgical practice.
Main Methods:
- Systematic review of 180 sources from PubMed, eLibrary, Cochrane Library, and MEDLINE (2015-2025).
- Analysis of keywords including precision medicine, personalized medicine, neuro-oncology, neuro-trauma, neuro-proteomics, and AI.
- Evaluation of Big Data processing and multi-modal data analysis.
Main Results:
- Precision medicine enhances understanding of tumor genesis, heterogeneity, and treatment resistance.
- Methods provide insights into neuro-trauma pathophysiology via proteomic analysis.
- AI and machine learning facilitate accurate decision-making using molecular data.
Conclusions:
- Precision medicine offers significant potential for targeted and personalized therapies in neurosurgery.
- Integration of precision medicine, AI, and clinical neurosurgery is crucial for future advancements.
- Enhanced data analysis capabilities are key to overcoming challenges in neurosurgical practice.
