Artificial Intelligence in Urologic Malignancies
- 1st Edition - November 25, 2024
- Latest edition
- Editor: Himanshu Arora
- Language: English
Artificial Intelligence in Urologic Malignancies describes current artificial intelligence technology, with an emphasis on prostate cancer applications. The book provides guidance… Read more
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.
- Provides guidance on AI integration that is expected to become standard in the future
- Places a special emphasis on prostate cancer and the integration of AI to show how to enhance personalized medicine
- Surveys current techniques and standards that can be shared and applied to fields outside cancer
Researchers of prostate cancer, urologists and oncologists. Bioinformatics specialists, software engineers, data scientists
Nikhil Kulkarni, Aysswarya Manoharan, Apurva Ramanujam, Benjamin Vinarski, Sameer Deshmukh
2. Machine Learning and Pathology: A Historical Perspective
Yasamin Mirzabeigi, Sheetal Malpani, Seyedeh Mohammadi, Romy Paz, Richard Gasca, Himanshu Arora
3. AI in Personalized Medicine: Application of Genomics to Influence Therapy Decisions
Romy Paz, Apurva Ramanujam, Benjamin Vinarski, Abul Shadali
4. AI in Personalized Medicine: Using public repositories to understand patterns in relevant datasets
Sheetal Malpani, Richard Gasca, Ineabelle Collazo, Derek Booven
5. Mutational Landscape of Cancer and how Latest Technologies can help in simplifying the understanding
Alexandra Dullea, Ahmed Noman, Seyedeh Mohammadi, Aysswarya Manoharan, Sameer Deshmukh
6. ChatGPT and Healthcare- current and future prospects
Derek Booven, Cheng-Bang Chen
7. Adversarial Networks – Enhancing current methodology with new models
Cheng-Bang Chen, Derek Booven, Himanshu Arora
8. Limitations of AI in Healthcare
Cheng-Bang Chen, Meenakshy Manoharan, Derek Booven
- Edition: 1
- Latest edition
- Published: November 25, 2024
- Language: English
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