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The Fallacy of Categorization in Urology: A Call for Continuous Thinking in the Era of Artificial Intelligence
Georges Mjaess1, Romain Diamand1, Thierry Roumeguère1
1Department of Urology, Jules Bordet Institute and Erasme Hospital, Hôpital Universitaire de Bruxelles, Brussels, Belgium.
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.
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