Artificial Intelligence for Enhanced Diagnosis in Oncology
eBook - ePub

Artificial Intelligence for Enhanced Diagnosis in Oncology

  1. 268 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence for Enhanced Diagnosis in Oncology

About this book

Artificial Intelligence for Enhanced Diagnosis in Oncology explores the transformative role of AI in cancer care, examining its applications across various domains. The book introduces key AI technologies, such as machine learning and natural language processing and discusses the challenges and opportunities they present in oncology. Each chapter focuses on specific areas where AI has significant impact, including early cancer screening, diagnosis, pathology, surgical oncology, and imaging. Readers will learn how AI improves precision in treatment, optimizes clinical trial designs, and accelerates drug discovery while addressing critical issues like predicting adverse drug reactions and assessing cancer risks.Emphasizing personalized oncology, the book also highlights innovative approaches to patient education and engagement. Concluding with insights on emerging trends and ethical considerations, this resource is essential for researchers, clinicians, and healthcare professionals committed to advancing cancer care through AI technologies. - Provides a thorough analysis of how Artificial Intelligence is utilized across various domains of oncology, including early cancer screening, diagnosis, pathology, surgical oncology, and imaging - Emphasizes the importance of personalized treatment approaches, showcasing innovative strategies that integrate AI with genomic, proteomic, and phenotypic data to tailor cancer care to individual patients - Offers forward-looking perspectives on the future of AI in oncology, addressing emerging trends and ethical issues that are crucial for researchers and clinicians navigating the evolving landscape of cancer care

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Information

Publisher
Academic Press
Year
2026
Topic
Biological Sciences
eBook ISBN
9780443450051
Subtopic
Biology
Index
Biological Sciences

Table of contents

  1. Title of Book
  2. Chapter 1. Artificial intelligence in oncology: An introduction
  3. Chapter 2. AI in early cancer screening
  4. Chapter 3. AI in cancer diagnosis and prognosis
  5. Chapter 4. AI-driven pathology: Transforming histopathological analysis
  6. Chapter 5. Integrating liquid biopsy and artificial intelligence for precision detection of cancer signatures
  7. Chapter 6. AI in surgical oncology
  8. Chapter 7. Artificial intelligence in cancer imaging
  9. Chapter 8. Artificial intelligence and radiomics in precision oncology
  10. Chapter 9. AI in cancer clinical trials enhancing study design and patient selection
  11. Chapter 10. AI in designing novel cancer treatments
  12. Chapter 11. Artificial intelligence for personalized oncology: Tailoring treatments to individual patients
  13. Chapter 12. Artificial intelligence in predicting adverse drug reactions, surgical outcomes, and radiotherapy responses
  14. Chapter 13. Artificial intelligence in cancer risk assessment
  15. Chapter 14. Artificial intelligence for oncology sepsis risk and mortality prediction
  16. Chapter 15. AI in cancer education and screening: Improving patient awareness and quality of life
  17. Chapter 16. The future of AI in oncology: Trends and innovations
  18. Index

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Yes, you can access Artificial Intelligence for Enhanced Diagnosis in Oncology by Gowhar Rashid,Zainab Siddiqui,Ashwin Kotnis,Wael Hafez in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over 1.5 million books available in our catalogue for you to explore.