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This is a Validation Study study.

Artificial Intelligence in oncological imaging screening

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Review examines AI's application in cancer detection, highlighting advancements and addressing implementation challenges.

AI has transformative potential for improving cancer detection through enhanced screening methods.
Implementation challenges include dataset bias and the need for robust regulatory frameworks for AI tools.
This review explores various imaging modalities, including CT, MRI, and ultrasound, to assess AI's impact on early detection.
The integration of AI in oncological imaging can lead to improved patient outcomes by enabling personalized risk stratification.

Guo et al. (2025) studied this question.

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