Artificial Intelligence for Early Detection and Diagnosis of Oral Cancer
| AUTHOR | Shah, Sejal; Thanki, Rohit |
| PUBLISHER | Springer (01/03/2026) |
| PRODUCT TYPE | Hardcover (Hardcover) |
This book analyzes using artificial intelligence (AI) for the purpose of oral 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 oral cancer, to prevent death and disability, and improve quality of life. The book starts by providing a comprehensive overview of oral cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of AI 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. This book intended for professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare.
This book analyzes using artificial intelligence (AI) for the purpose of oral 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 oral cancer, to prevent death and disability, and improve quality of life. The book starts by providing a comprehensive overview of oral cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of AI 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. This book intended for professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare.
- Analyzes using artificial intelligence (AI) for the purpose of oral cancer early detection;
- Explores how algorithms can analyze data and images to enhance early detection and accurate diagnosis of oral cancer;
- Highlights AI in risk assessment, personalized screening strategies, and decision support for healthcare professionals.
This book analyzes using artificial intelligence (AI) for the purpose of oral 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 oral cancer, to prevent death and disability, and improve quality of life. The book starts by providing a comprehensive overview of oral cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of AI 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. This book intended for professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare.