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September 10, 2025AL-Kindy College Medical JournalOpen Access

A Cautionary Perspective on Artificial Intelligence and Novel Imaging Technologies in Patient Selection for Retrograde Intrarenal Surgery

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Authors

SMSamir A. MuterNANoorulhuda Al-Ani

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Overview

Commentary critiques clinical algorithms for patient selection in RIRS, suggesting potential limitations and ethical considerations.

Key Points

  • AI-driven predictive models often depend on retrospective data from single centers, raising interpretability concerns.
  • Dual-energy CT and 3D reconstructions may offer detailed anatomical insights but overlook real-time surgical dynamics.
  • Radiomics provide great information on stone behavior, yet their reproducibility and clinical relevance remain untested.
  • Conventional CT metrics like stone size and density are still more reliable and accessible than new technologies.

Cite This Study

Muter et al. (2025) studied this question.

synapsesocial.com/papers/68c23f1fb210217d64795403https://doi.org/10.47723/e4j95114
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