Artificial Intelligence for Enhanced Diagnosis in Oncology

著者名：Rashid PhD., Gowhar (EDT)/Siddiqui PhD, Zainab (EDT)/Kotnis PhD., Ashwin (EDT)/Hafez PhD., Wael (EDT)

Academic Press（2026/05/02発売）

• 言語：ENG
• ISBN：9780443450044
• eISBN：9780443450051

Description

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

Table of Contents

1 Artificial intelligence in oncology: An introduction2 AI in early cancer screening3 AI in cancer diagnosis and prognosis4 AI-driven pathology: Transforming histopathological analysis5 Integrating liquid biopsy and artificial intelligence for precision detection of cancer signatures6 AI in surgical oncology7 Artificial intelligence in cancer imaging8 Artificial intelligence and radiomics in precision oncology9 AI in cancer clinical trials enhancing study design and patient selection10 AI in designing novel cancer treatments11 Artificial intelligence for personalized oncology: Tailoring treatments to individual patients12 Artificial intelligence in predicting adverse drug reactions, surgical outcomes, and radiotherapy responses13 Artificial intelligence in cancer risk assessment14 Artificial intelligence for oncology sepsis risk and mortality prediction15 AI in cancer education and screening: Improving patient awareness and quality of life16 The future of AI in oncology: Trends and innovations