Quantifying expert variability validates CT-MRI registration in brain stereotactic radiosurgery, suggesting improved workflows with AI algorithms.
Quantifying multi-expert variability enables a probabilistic GS and clinically relevant thresholds for CT-MRI registration. This benchmark reflects human performance and provides a framework for algorithm validation. An AI-driven CB algorithm demonstrated high reliability, reduced operator dependence, and may streamline SRS workflows.
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Faccenda et al. (2026) studied this question.
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