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Artificial intelligence in urology : present and future /

Artificial Intelligence in Urology: Present and Future summarizes the cutting-edge development and adoption of Artificial Intelligence (AI) technologies in urology. The book explores barriers that prevent the further adoption of AI technologies, provides ethical considerations, and investigates the...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Hung, Andrew J. (Editor)
Format: eBook
Language:English
Published: London, United Kingdom : Academic Press, [2025]
Subjects:
Urology > Technological innovations.
Artificial intelligence > Medical applications.
Urologie > Innovations.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Artificial Intelligence in Urology
  • Copyright Page
  • Dedication
  • Contents
  • List of contributors
  • 1 Introduction
  • 2 What is artificial intelligence, machine learning, and deep learning: terminologies explained
  • 2.1 Differences between artificial intelligence/machine learning/deep learning
  • 2.2 Machine learning categories
  • 2.2.1 Supervised machine learning: classification and regression
  • 2.2.2 Unsupervised machine learning
  • 2.2.3 Reinforcement learning
  • 2.3 Deep learning and neural networks
  • 2.3.1 Feedforward neural network
  • 2.3.2 Convolutional neural networks
  • 2.3.3 Recurrent neural networks
  • 2.3.4 Recent advances in deep learning: generative AI and large language models
  • Artificial intelligence disclosure
  • References
  • 3 Prostate cancer diagnosis using artificial intelligence methods
  • radiomics
  • 3.1 Introduction
  • 3.2 Radiomics: fundamentals and concepts
  • 3.3 Prostate imaging modalities
  • 3.3.1 Ultrasound
  • 3.3.2 CT scan
  • 3.3.3 mpMRI
  • 3.3.4 PET scans
  • 3.4 Regulatory considerations
  • 3.5 Integration into clinical workflow