Clinical GBM hybrid artificial intelligence for prescription dose recommendation and outcome prediction after gamma knife radiosurgery treatment: a proof-of-concept - Summary - MDSpire

Clinical GBM hybrid artificial intelligence for prescription dose recommendation and outcome prediction after gamma knife radiosurgery treatment: a proof-of-concept

  • By

  • Jheremy S. Reyes

  • Alexandros Bouras

  • Ajay Niranjan

  • L Dade Lunsford

  • Constantinos G. Hadjipanayis

  • May 8, 2026

  • 0 min

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Objective:

Emphasize the significance of personalized dose recommendations in improving patient outcomes.

Key Findings:
  • Provide context on the implications of the C-index and Brier score for clinical practice.
Interpretation:

Elaborate on how CGH-AI enhances patient counseling.

Limitations:
  • Mention potential biases in retrospective studies and the need for multi-center validation.
Conclusion:

Reiterate the potential impact on clinical practice and future research directions.

Original Source(s)

Clinical GBM hybrid artificial intelligence for prescription dose recommendation and outcome prediction after gamma knife radiosurgery treatment: a proof-of-concept

  • by Jheremy S. Reyes, Alexandros Bouras, Ajay Niranjan, L Dade Lunsford, Constantinos G. Hadjipanayis

  • May 8, 2026

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