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Genomics and Artificial Intelligence: Prostate Cancer
Urol Clin North Am. 2024 Feb;51(1):27-33. doi: 10.1016/j.ucl.2023.06.006. Epub 2023 Jul 31.ABSTRACTArtificial intelligence (AI) is revolutionizing prostate cancer genomics research. By leveraging machine learning and deep learning algorithms, researchers can rapidly analyze vast genomic datasets to identify patterns and correlations that may be missed by traditional methods. These AI-driven insights can lead to the discovery of novel biomarkers, enhance the accuracy of diagnosis, and predict disease progression and treatment response. As such, AI is becoming an indispensable tool in the pursuit of personalized medicine for...
Source: The Urologic Clinics of North America - November 9, 2023 Category: Urology & Nephrology Authors: Elyssa Y Wong Timothy N Chu Seyedeh-Sanam Ladi-Seyedian Source Type: research

Radiomics and Artificial Intelligence: Renal Cell Carcinoma
Urol Clin North Am. 2024 Feb;51(1):35-45. doi: 10.1016/j.ucl.2023.06.007. Epub 2023 Jul 28.ABSTRACTThere is a clinical need for accurate diagnosis and prognostication of kidney cancer using imaging. Radiomics and deep learning methods applied to imaging have shown promise in tasks such as tumor segmentation, classification, staging, and grading, as well as assessment of preoperative scores and correlation with tumor biomarkers. Artificial intelligence is also expected to play a significant role in advancing personalized medicine for the treatment of renal cell carcinoma.PMID:37945101 | DOI:10.1016/j.ucl.2023.06.007 (Source...
Source: The Urologic Clinics of North America - November 9, 2023 Category: Urology & Nephrology Authors: Alex G Raman David Fisher Felix Yap Assad Oberai Vinay A Duddalwar Source Type: research

Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma
Urol Clin North Am. 2024 Feb;51(1):47-62. doi: 10.1016/j.ucl.2023.06.002. Epub 2023 Jul 21.ABSTRACTThe integration of artificial intelligence (AI) with histopathology images and gene expression patterns has led to the emergence of the dynamic fields of pathomics and genomics. These fields have revolutionized renal cell carcinoma (RCC) diagnosis and subtyping and improved survival prediction models. Machine learning has identified unique gene patterns across RCC subtypes and grades, providing insights into RCC origins and potential treatments, as targeted therapies. The combination of pathomics and genomics using AI opens n...
Source: The Urologic Clinics of North America - November 9, 2023 Category: Urology & Nephrology Authors: J Everett Knudsen Joseph M Rich Runzhuo Ma Source Type: research

Bladder Cancer and Artificial Intelligence: Emerging Applications
Urol Clin North Am. 2024 Feb;51(1):63-75. doi: 10.1016/j.ucl.2023.07.002. Epub 2023 Aug 25.ABSTRACTBladder cancer is a common and heterogeneous disease that poses a significant burden to the patient and health care system. Major unmet needs include effective early detection strategy, imprecision of risk stratification, and treatment-associated morbidities. The existing clinical paradigm is imprecise, which results in missed tumors, suboptimal therapy, and disease progression. Artificial intelligence holds immense potential to address many unmet needs in bladder cancer, including early detection, risk stratification, treatm...
Source: The Urologic Clinics of North America - November 9, 2023 Category: Urology & Nephrology Authors: Mark A Laurie Steve R Zhou Md Tauhidul Islam Eugene Shkolyar Lei Xing Joseph C Liao Source Type: research

Surgical Artificial Intelligence: Endourology
Urol Clin North Am. 2024 Feb;51(1):77-89. doi: 10.1016/j.ucl.2023.06.004. Epub 2023 Jul 31.ABSTRACTEndourology is ripe with information that includes patient factors, laboratory tests, outcomes, and visual data, which is becoming increasingly complex to assess. Artificial intelligence (AI) has the potential to explore and define these relationships; however, humans might not be involved in the input, analysis, or even determining the methods of analysis. Herein, the authors present the current state of AI in endourology and highlight the need for urologists to share their proposed AI solutions for reproducibility outside o...
Source: The Urologic Clinics of North America - November 9, 2023 Category: Urology & Nephrology Authors: Zachary E Tano Andrei D Cumpanas Antonio R H Gorgen Allen Rojhani Jaime Altamirano-Villarroel Jaime Landman Source Type: research