2023
DOI: 10.1097/mou.0000000000001144
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AI-powered radiomics: revolutionizing detection of urologic malignancies

David G. Gelikman,
Soroush Rais-Bahrami,
Peter A. Pinto
et al.

Abstract: Purpose of Review This review aims to highlight the integration of artificial intelligence-powered radiomics in urologic oncology, focusing on the diagnostic and prognostic advancements in the realm of managing prostate, kidney, and bladder cancers. Recent Findings As artificial intelligence continues to shape the medical imaging landscape, its integration into the field of urologic oncology has led to impressive results. For prostate cancer diagnostics… Show more

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Cited by 2 publications
(2 citation statements)
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“…These cutting-edge technologies are reshaping the foundations of cancer care, heralding a paradigm shift towards precision-driven methods. AI's ability to process vast datasets rapidly is unveiling new prospects in the comprehension of complex cancer dynamics, allowing clinicians to extract meaningful insights for more accurate diagnoses and efficacious treatment strategies [1,2].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…These cutting-edge technologies are reshaping the foundations of cancer care, heralding a paradigm shift towards precision-driven methods. AI's ability to process vast datasets rapidly is unveiling new prospects in the comprehension of complex cancer dynamics, allowing clinicians to extract meaningful insights for more accurate diagnoses and efficacious treatment strategies [1,2].…”
Section: Introductionmentioning
confidence: 99%
“…This underscores AI's growing significance in personalized cancer care. A recent literature review [2] focuses on the integration of AI-powered radiomics in urologic oncology. It highlights significant advances in diagnostics and prognosis, like improved lesion detection in prostate cancer through machine learning (ML) and using radiomics for differentiating renal masses in kidney cancer.…”
Section: Introductionmentioning
confidence: 99%