AI in Cancer Theranostics: Critical Appraisal of Evidence and Future Translation

AI can automate image interpretation, enhance dosimetry, and enable personalized radiopharmaceutical therapy, but challenges in data quality, interpretability, and validation currently limit clinical adoption.

• AI applications include automated image interpretation, single-time-point dosimetry, and radiomics.
• Emerging concepts: theranostic digital twins, physics-informed neural networks, explainable AI.
• Key barriers: data quality, standardization, clinical validation.

Automated summary

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