医学
电流(流体)
肾癌
癌症
重症监护医学
内科学
电气工程
工程类
作者
Adri Durant,Ramon Correa Medero,Logan Briggs,Mouneeb Choudry,Mimi Thi Nguyen,Aneeta Channar,Umar Ghaffar,Camille Kurtz,Irbaz Bin Riaz,Haidar Abdul‐Muhsin
出处
期刊:Urology
[Elsevier]
日期:2024-07-01
标识
DOI:10.1016/j.urology.2024.07.010
摘要
Artificial intelligence (AI) is the integration of human tasks into machine processes. The role of AI in kidney cancer evaluation, management, and outcome predictions are constantly evolving. We performed a narrative review utilizing PubMed electronic database to query AI as a method of analysis in kidney cancer research. Key search-words included: Artificial Intelligence, Supervised/Unsupervised Machine Learning, Deep Learning, Natural Language Processing, Neural Networks, radiomics, pathomics, and kidney or renal neoplasms or cancer. 72 clinically relevant and impactful studies related to imaging, histopathology, and outcomes were recognized. We anticipate the incorporation of AI tools into future clinical decision-making for kidney cancer.
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