Artificial Intelligence in Cancer

Diagnostic to Tailored Treatment

Smaranda Belciug

• Publisher: Academic Press
• Year: 2020
• ISBN:
  9780128204108
• Topic: Biological Sciences
• Subtopic: Biology
• Index: Biological Sciences

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.

• 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

Chapter 1

Life challenge. Cancer

Abstract

The aim of this chapter is to establish a psychological connection with the reader, for her/him to truly understand the vast implication of cancer in a person’s life, whether her/his own health is involved, or a loved one’s. Dealing with cancer implies physical, psychological, and financial issues. At first, we shall take a walk down history lane and see how cancer was seen in the past, followed by a recap from nowadays. A statistical analysis handbook that needs to be performed anytime we are dealing with new clinical trials, new drugs, new oncological surgeries, new AI algorithms, is presented also. Last, but not least, we shall paint a glimpse of the future, in which a trusted friend, Artificial Intelligence, steps in to lend us a helping hand.

Keywords

Cancer history; Hypothesis testing; Statistical tests; Statistical tables; Statistical parameters; Power analysis; Bayes’ theorem; Genome project; Imagistics

1.1 Cancer throughout history

Cancer seems like a Russian roulette. It is like everyday you hear that someone you know or heard of has just been diagnosed with it. It is scary. You feel insecure and think that you might be next. You comfort yourself with thoughts that you or your family won’t get “hit” by it. You eat the right food, exercise, sleep well, take your miner...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Dedication
• Foreword
• Preface
• Chapter 1: Life challenge. Cancer
• Chapter 2: The beginnings
• Chapter 3: Pathologist at work
• Chapter 4: Surgeon at work
• Chapter 5: Oncologist at work
• Chapter 6: Radiotherapist at work
• Chapter 7: Survival analysis
• Chapter 8: Remission and recurrence. What do to next?
• Chapter 9: Artificial Intelligence in cancer: Dreams may come true someday
• Index