Artificial Intelligence in Urologic Malignancies describes current artificial intelligence technology, with an emphasis on prostate cancer applications. The book provides guidance on how artificial intelligence can improve therapeutics, how the power of artificial intelligence integrated with current standard therapy and research can enhance decision-making, and proposes future directions on how to integrate artificial intelligence within clinical applications. This is the perfect reference for scientists and researchers interested in the basic translational research opportunities such as drug discovery, pharmacogenetics, and experimental therapeutics, as well as clinicians interested in how AI applications are integrated with applications.
Table of Contents
1. Current Advancements of ML in Healthcare 2. Machine Learning and Pathology: A Historical Perspective 3. AI in Personalized Medicine: Application of Genomics to Influence Therapy Decisions 4. AI in Personalized Medicine: Using public repositories to understand patterns in relevant datasets 5. Mutational Landscape of Cancer and how Latest Technologies can help in simplifying the understanding 6. ChatGPT and Healthcare- current and future prospects 7. Adversarial Networks Enhancing current methodology with new models 8. Limitations of AI in Healthcare
