Artificial Intelligence for Early Detection and Diagnosis of Lung Cancer | 33.05 MB
Title: Artificial Intelligence for Early Detection and Diagnosis of Lung Cancer
Author: Sejal Shah, Rohit Thanki
Category: Nonfiction, Science & Nature, Technology, Telecommunications, Mathematics, Statistics, Engineering
Language: English | 158 Pages | ISBN: 9783032296153
Description:
This book introduces the concept of using AI for the purpose of lung cancer early detection. The book explores how advanced computer algorithms can analyze medical images, transcriptomic/epigenetic profiles, and relevant patient data to enhance early detection and accurate diagnosis of lung cancer, to prevent death and disability, and improve quality of life. The book starts by providing a comprehensive overview of lung cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of artificial intelligence and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in oral cells and tissue, enabling the detection of abnormal cells and precancerous transcriptomic or epigenetic changes that may indicate the presence of oral cancer. Drawing on the latest research and real-world case studies, the book showcases the various AI techniques used for lung cancer screening, including the automated image processing and analysis of incisional or excisional biopsy-based cytology images.
This book introduces the concept of using AI for the purpose of lung cancer early detection. The book explores how advanced computer algorithms can analyze medical images, transcriptomic/epigenetic profiles, and relevant patient data to enhance early detection and accurate diagnosis of lung cancer, to prevent death and disability, and improve quality of life. The book starts by providing a comprehensive overview of lung cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of artificial intelligence and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in oral cells and tissue, enabling the detection of abnormal cells and precancerous transcriptomic or epigenetic changes that may indicate the presence of oral cancer. Drawing on the latest research and real-world case studies, the book showcases the various AI techniques used for lung cancer screening, including the automated image processing and analysis of incisional or excisional biopsy-based cytology images.
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