The Current Application and Future Potential of Artificial Intelligence in Renal Cancer.

Journal: Urology
PMID: 39029807

Abstract

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.

Authors

  • Adri M Durant
    Department of Urology, Mayo Clinic Arizona, Phoenix, AZ. Electronic address: durant.adri@mayo.edu.
  • Ramon Correa Medero
    School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ.
  • Logan G Briggs
    Department of Urology, Mayo Clinic Arizona, Phoenix, AZ.
  • Mouneeb M Choudry
    Department of Urology, Mayo Clinic Arizona, Phoenix, AZ.
  • Mimi Nguyen
    Department of Urology, Mayo Clinic Arizona, Phoenix, AZ.
  • Aneeta Channar
    Division of Hematology and Oncology, Department of Internal Medicine, Mayo Clinic Arizona, Phoenix, AZ.
  • Umar Ghaffar
    Division of Hospital Medicine, University of Florida, Gainesville, FL, United States of America.
  • Imon Banerjee
    Mayo Clinic, Department of Radiology, Scottsdale, AZ, USA.
  • Irbaz Bin Riaz
    Division of Hematology and Oncology, Department of Internal Medicine, Mayo Clinic Arizona, Phoenix, AZ.
  • Haidar Abdul-Muhsin
    Department of Urology, Mayo Clinic in Arizona, Phoenix, Arizona.

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