aceFrom severity scoring to predictive analytics: the emerging role of AI in neurosurgery
The rapid integration of artificial intelligence (AI) into neurosurgical practice is transforming every phase of patient care from diagnostic imaging and preoperative planning to intraoperative decision-making and postoperative management. This narrative review traces the evolution of data-driven neurosurgery, beginning with traditional severity scoring systems and advancing toward predictive analytics and intelligent automation. By examining structured data (such as electronic health records and laboratory valu…
AI models applied to neurosurgical data achieved Dice scores of 0.82-0.84 for tumor segmentation and AUC values of 0.80-0.90 for molecular prediction and outcome forecasting, supporting lesion detection, surgical navigation, and prognostication.
As a narrative review, the work synthesizes developments qualitatively with limitations regarding systematic selection, quantitative synthesis, and variable model validation.
Evidence
- Peer-reviewedFrontiers in Neurology2026-01-01
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Truvace Impact Record TRV-2026-0294, v1: “From severity scoring to predictive analytics: the emerging role of AI in neurosurgery.” Truvace, 2026-07-20. /record/TRV-2026-0294 (accessed at citation time). sha256 a55bb99cbd7926c3…
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