Application and prospect of artificial intelligence in diagnostic imaging of prostate cancer.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 41644780.
- Also identified by DOI 10.1038/s41746-026-02354-6 and PMC identifier 12913637.
- Licence recorded as CC BY-NC-ND.
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Abstract
Prostate cancer is a leading cause of male cancer mortality, and early, accurate diagnosis is critical. Artificial intelligence (AI), including machine learning, deep learning, and radiomics, enhances detection, characterization, and treatment assessment across TRUS, mp-MRI, and PSMA PET/CT. AI models achieve high accuracy, often matching experts, improving small-lesion detection, and supporting risk stratification. Challenges remain in data quality, generalization, clinical integration, and ethics, with future prospects in multi-omics, explainable AI, and workflow-embedded decision support.