Systematic review reveals machine learning shows high diagnostic performance for metastasis in thyroid cancer, suggesting integration into clinical decision-making.
ML and DL algorithms demonstrate favorable diagnostic performance in identifying metastasis in thyroid cancer and may serve as supportive tools in clinical decision-making. Their consistent results across different metastasis types and technical settings highlight their potential to complement existing diagnostic approaches. These findings encourage further exploration and refinement of AI-based methods for integration into routine oncologic practice.
No takes yet. Share an insight, caveat, or question.
Lichahi et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: