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Machine Learning Algorithms for Neurosurgical Preoperative Planning: A Scoping Review
7
Zitationen
12
Autoren
2024
Jahr
Abstract
ML algorithms for preoperative neurosurgical planning are being developed for efficient, automated, and safe treatment decision-making. However, future studies are necessary to validate their objective performance across diverse clinical scenarios. Enhancing the robustness, transparency, and understanding of ML applications will be crucial for their successful integration into neurosurgical practice.
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Autoren
Institutionen
- Universidad Peruana Cayetano Heredia(PE)
- Universidade de Santo Amaro(BR)
- Centro Universitário de Várzea Grande(BR)
- Universidad de Costa Rica(CR)
- Saint Aloysius Gonzaga National University(PE)
- Islamic Azad University, Tehran(IR)
- National University of San Marcos(PE)
- University of Pittsburgh(US)
- Hospital Nacional Cayetano Heredia(PE)
- Pontifical Catholic University of Peru(PE)
- Universidade de São Paulo(BR)
- Loma Linda University(US)
- Loma Linda University Medical Center(US)