Artificial Intelligence in Cancer
1st Edition
Diagnostic to Tailored Treatment
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Description
Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare. It discusses topics such as the impactful role of AI during diagnosis and how it can support clinicians to make better decisions, AI tools to help pathologists identify exact types of cancer, how AI supports tumor profiling and can assist surgeons, and the gains in precision for oncologists using AI tools. Additionally, it provides information on AI used for survival and remission/recurrence analysis.
The book is a valuable source for bioinformaticians, cancer researchers, oncologists, clinicians and members of the biomedical field who want to understand the promising field of AI applications in cancer management.
Key Features
- Discusses over 20 real cancer examples, bringing state-of-the-art cancer cases in which AI was used to help the medical personnel
- Presents over 100 diagrams, making it easier to comprehend AI’s results on a specific problem through visual resources
- Explains AI algorithms in a friendly manner, thus helping the reader implement or use them in a specific cancer case
Readership
Bioinformaticians, cancer researchers, oncologists, clinicians, pathologists
Table of Contents
1. Life challenge. Cancer
1.1 Cancer throughout history
1.2 Where are we now?
1.3 Hope is around the corner
2. The beginnings
2.1 Doctor's suspicion. Doctor + artificial intelligence combo's diagnostic
2.2 World collapses. Making an informed decision
3. Pathologist at work
3.1 Building the tumour's pattern
3.2 AI and Immunohistochemistry
3.3 AI and Genetics
4. Surgeon at work
4.1 Tumour profiling
4.2 Making a clean cut with the help of Artificial Intelligence
5. Oncologist at work
5.1. Establishing treatment plan
5.2 Chemotherapy and artificial intelligence
6. Radiotherapist at work
6.1. Establishing treatment plan
6.2 Radiotherapy and artificial intelligence
7. Survival analysis
8. Remission and recurrence. What to do next?
9. Artificial intelligence in Oncology: dreams may come true someday
Details
- No. of pages:
- 318
- Language:
- English
- Copyright:
- © Academic Press 2020
- Published:
- 18th June 2020
- Imprint:
- Academic Press
- Paperback ISBN:
- 9780128202012
- eBook ISBN:
- 9780128204108
About the Author
Smaranda Belciug
Smaranda Belciug, PhD received her B.S. and MSc degrees in Computer Science from the University of Craiova, Romania, in 2006, and 2008, respectively and MSc degree in Computer Science from the University of Paris 12, France in 2007. She received her Ph.D. degree in Computer Science from the University of Pitesti, Romania in 2010. She is now Associate Professor with the Department of Computer Science, Faculty of Sciences, University of Craiova, Romania. Her research includes Artificial Intelligence, Machine Learning, Data Mining and Statistics focusing on cancer research. She authored 5 books, 3 book chapters and more than 25 scientific papers published in prestigious international journals. She won a special mention at the Young Researchers in Science and Technology contest, from Prof. Rada Mihalcea, University of Michigan.
Affiliations and Expertise
Associate Professor, Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Craiova, Romania
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