"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.
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Table of Contents
1 Artificial intelligence in oncology: An introduction2 AI in early cancer screening
3 AI in cancer diagnosis and prognosis
4 AI-driven pathology: Transforming histopathological analysis
5 Integrating liquid biopsy and artificial intelligence for precision detection of cancer signatures
6 AI in surgical oncology
7 Artificial intelligence in cancer imaging
8 Artificial intelligence and radiomics in precision oncology
9 AI in cancer clinical trials enhancing study design and patient selection
10 AI in designing novel cancer treatments
11 Artificial intelligence for personalized oncology: Tailoring treatments to individual patients
12 Artificial intelligence in predicting adverse drug reactions, surgical outcomes, and radiotherapy responses
13 Artificial intelligence in cancer risk assessment
14 Artificial intelligence for oncology sepsis risk and mortality prediction
15 AI in cancer education and screening: Improving patient awareness and quality of life
16 The future of AI in oncology: Trends and innovations

