The Fallacy of Categorization in Urology: A Call for Continuous Thinking in the Era of Artificial Intelligence.

Journal: European urology oncology
Published Date:

Abstract

Categorization of patients according to their characteristics may simplify decision-making, but it fails to account for the continuous nature of risk and individual variability. Artificial intelligence has the ability to handle more complex continuous data for more precise, individualized recommendations, but several challenges must be overcome to unlock this potential.

Authors

  • Georges Mjaess
    Department of Urology, Hotel Dieu de France, Beirut, Lebanon.
  • Romain Diamand
    Department of Urology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
  • Thierry Roumeguère
    Department of Urology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.