September 10, 2025Discover OncologyOpen Access

Application of artificial intelligence in medical imaging for tumor diagnosis and treatment: a comprehensive approach

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AI techniques improve early cancer detection across tumors like breast, lung, and prostate, enhancing patient outcomes.
Findings showcase deep learning and radiomics facilitating automated lesion detection, segmentation, and prognosis.
Challenges include data heterogeneity, generalisability, and regulatory constraints, limiting clinical uptake of AI solutions.
Future research should enhance AI interpretability and promote multi-centre dataset interoperability for real-world applications.

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Narrative review highlights AI's role in tumor diagnosis and treatment, suggesting further integration into oncology practices.

Huang et al. (2025) studied this question.

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