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Artificial intelligence for early de...

Thanki, Rohit M.

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Artificial intelligence for early detection and diagnosis of oral cancer

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence for early detection and diagnosis of oral cancer/ by Rohit Thanki, Sejal Shah.
Author:	Thanki, Rohit M.
other author:	Shah, Sejal.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xv, 124 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- An Introduction to Oral Cancer -- Types, Diagnosis and Treatment of Oral Cancer -- Artificial Intelligence and Its Role in Early Detection of Oral Cancer -- Various Stages of Detection and Diagnosis of Oral Cancer using AI -- Current Research Treads for Early Screening of Oral Cancer using AI -- Conclusion.
Contained By:	Springer Nature eBook
Subject:	Mouth - Cancer -
Online resource:	https://doi.org/10.1007/978-3-032-05056-4
ISBN:	9783032050564

Artificial intelligence for early detection and diagnosis of oral cancer
Thanki, Rohit M.

Artificial intelligence for early detection and diagnosis of oral cancer[electronic resource] /by Rohit Thanki, Sejal Shah. - Cham :Springer Nature Switzerland :2025. - xv, 124 p. :ill., digital ;24 cm. - Signals and communication technology,1860-4870. - Signals and communication technology..

Introduction -- An Introduction to Oral Cancer -- Types, Diagnosis and Treatment of Oral Cancer -- Artificial Intelligence and Its Role in Early Detection of Oral Cancer -- Various Stages of Detection and Diagnosis of Oral Cancer using AI -- Current Research Treads for Early Screening of Oral Cancer using AI -- Conclusion.

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.

ISBN: 9783032050564

Standard No.: 10.1007/978-3-032-05056-4doiSubjects--Topical Terms:

2134972
Mouth
--Cancer

LC Class. No.: RC280.M6

Dewey Class. No.: 616.99431075

Artificial intelligence for early detection and diagnosis of oral cancer
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505 0 $a Introduction -- An Introduction to Oral Cancer -- Types, Diagnosis and Treatment of Oral Cancer -- Artificial Intelligence and Its Role in Early Detection of Oral Cancer -- Various Stages of Detection and Diagnosis of Oral Cancer using AI -- Current Research Treads for Early Screening of Oral Cancer using AI -- Conclusion.
520 $a 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.
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