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Personalizing adult spinal deformity surgery through multimodal artificial intelligence.

Tej D Azad1, Vikas N Vattipally1, Christopher P Ames2

  • 1Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, USA.

Acta Orthopaedica Et Traumatologica Turcica
|August 11, 2024
PubMed
Summary

Precise planning, execution, and management are key for adult spinal deformity (ASD) surgery outcomes. Multimodal artificial intelligence (AI) offers future potential to personalize ASD patient care across the entire treatment pathway.

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Area of Science:

  • Orthopedics
  • Spine Surgery
  • Artificial Intelligence

Background:

  • Adult spinal deformity (ASD) surgery requires meticulous preoperative planning, intraoperative execution, and postoperative management for optimal patient-centered outcomes.
  • The rapid advancement of multimodal artificial intelligence (AI) presents new opportunities for enhancing ASD patient care.

Purpose of the Study:

  • To explore the current concepts and future applications of artificial intelligence in the management of adult spinal deformity.
  • To highlight the potential of AI in personalizing surgical care for ASD patients.

Main Methods:

  • Review of current concepts in AI relevant to spinal deformity.
  • Exploration of potential future applications of AI across the ASD care continuum.

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Main Results:

  • AI integration is proposed across the entire patient journey in ASD surgery.
  • Multimodal AI can enhance precision in planning, execution, and management for improved outcomes.

Conclusions:

  • Artificial intelligence holds significant promise for personalizing adult spinal deformity surgery.
  • Integrating AI into the ASD care continuum is crucial for advancing patient outcomes.