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Neurosurgery Advancements: From Technical Innovation to Patient-Centered Outcomes-A Narrative Review.

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Summary

Modern neurosurgery focuses on patient well-being, using technology to improve neurological function and quality of life. This review explores how innovations enhance patient outcomes beyond traditional metrics.

Keywords:
artificial intelligenceconnectomicsfunctional preservationintraoperative mappingmaximal safe resectionneurocognitive outcomesneurosurgerypatient-reported outcomesquality of lifevalue-based care

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Area of Science:

  • Neurosurgery
  • Medical Technology
  • Patient Outcomes

Background:

  • Neurosurgery has evolved from focusing on mortality rates to prioritizing patient-centered outcomes.
  • Technological advancements are reshaping surgical decision-making and patient care.
  • The focus is shifting towards preserving neurological function, cognitive integrity, and quality of life.

Purpose of the Study:

  • To review how technical progress in neurosurgery translates into functional, cognitive, and quality-of-life benefits.
  • To critically discuss current evidence limitations regarding technological advancements.
  • To explore future directions for personalized, outcome-driven neurosurgery.

Main Methods:

  • Narrative review of technological innovations in neurosurgery.
  • Analysis of the impact of these innovations on patient outcomes.
  • Discussion of evidence and future research directions.

Main Results:

  • Technological innovations like intraoperative mapping and minimally invasive techniques are transforming neurosurgery.
  • These advancements aim to improve patient outcomes, including functional and cognitive preservation.
  • The measurable impact on clinically meaningful outcomes is the key focus.

Conclusions:

  • Neurosurgery is increasingly driven by technology and patient-centered outcomes.
  • Translating technical progress into tangible patient benefits is crucial.
  • Future neurosurgery should be personalized and focused on measurable outcomes, addressing current evidence gaps.