Artificial Intelligence in Urology: New Technologies with Major Potential
Keywords:
urology, artifical inteligence, machine learning, deep learning, artificial neural networks, computer vision, natural language processing, benign prostatic hypetrophy, urodinamic studies, bladder cancer, carcinoma of the prostate, renal cancerAbstract
The present paper described how Artificial intelligence (AI) is revolutionizing urology, with applications in diagnosis, treatment planning, and patient monitoring. This review highlights AI's role in key urological areas, such as cancer detection, robotic-assisted surgeries, and personalized patient care. These advancements significantly enhance clinical decision-making and treatment outcomes. Thus, we can clearly state that AI has immense potential to redefine urological practice, fostering accuracy, efficiency, and patient-centered care. However, the integration of these technologies requires addressing challenges like data security, ethical concerns, and regulatory validation. Future efforts should focus on developing robust, evidence-based AI tools to ensure their safe and effective deployment in clinical settings.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 BRAIN. Broad Research in Artificial Intelligence and Neuroscience

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.