Artificial Intelligence for Early Detection and Diagnosis of Oral Cancer

Rohit Thanki, Sejal Shah (Autoren)

Buch | Hardcover

XV, 124 Seiten

2026
Springer International Publishing (Verlag)
978-3-032-05055-7 (ISBN)

Infos

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.

Autor

Dr. Rohit Thanki is a Senior AI Researcher and Data Scientist with over fifteen years of academic and industry research experience, and more than eight years specifically focused on AI-powered medical technologies. He is currently based in Wolfsburg, Germany, where he develops and leads regulatory-compliant AI solutions for healthcare diagnostics, medical image analysis, and clinical decision support. His work spans multiple domains including cancer diagnostics, orthopaedic rehabilitation, signal processing, and Software as a Medical Device (SaMD) development. Dr. Thanki has held key positions in AI R&D leadership, including as Head of Research and Development at Prognica Labs in Dubai, where he spearheaded AI-based breast cancer screening technologies, and as a Senior Data Scientist at KRiAN GmbH in Germany, focusing on AI for orthopaedic diagnostics & rehabilitation. His work involves the end-to-end development of machine learning and computer vision models, including their validation under international regulatory frameworks such as CE marking, ISO 13485, and ISO 62304. In addition to his industrial roles, he serves as an active academic supervisor, currently guiding Ph.D. research in AI and medical imaging, and mentoring thesis projects at German and Indian universities. An accomplished author and researcher, Dr. Thanki has published over 100 Scopus-indexed research papers and more than 50 articles in Web of Science indexed journals. He has also written or co-authored over 25 academic books with leading publishers such as Springer Nature, CRC Press, and Elsevier. His books cover key areas, including AI in cancer diagnosis, medical image security, the Internet of Medical Things (IoMT), and explainable AI in medicine. Several of his publications are part of prestigious Springer series including SpringerBriefs in Electrical and Computer Engineering, Signals and Communication Technology, and Biomedical Engineering. His contributions have been widely recognized: he was honored with the Transformational Leadership Award in 2021 (Dubai) for the best deployment of machine learning in healthcare, and he has received multiple Best Paper awards in international conferences. As a recognized thought leader, Dr. Thanki has delivered expert talks and keynote lectures at institutions and international events on topics such as medical image AI, clinical NLP, and SaMD development. He also actively serves as a session chair and technical committee member in global conferences. Dr. Thanki is a Senior Member of IEEE, a member of the German Society for Artificial Intelligence in Medicine, and the German AI Association. He serves on the editorial boards of BMC Digital Health and Humanities and Social Sciences Communications (Springer Nature) and is a frequent reviewer for top-tier journals such as IEEE Transactions on Biomedical and Health Informatics, Elsevier s Computers in Biology and Medicine, and Springer s Artificial Intelligence Review. With his deep understanding of both technical AI development and global regulatory landscapes, Dr. Rohit Thanki is uniquely positioned to guide innovators and professionals through the complexities of medical technology (MedTech) compliance. His work bridges science, technology, regulation, and practice, making him an authoritative voice for this practical guide to navigating the MedTech regulatory maze. 

Dr. Sejal Shah is currently serving as the Associate Professor & Head at Department of Bioinformatics, Faculty of engineering and technology, Marwadi University Rajkot, India. She is also serving as Cancer Geneticist and molecular tumour board member at various multispecialty hospitals In India. She is visiting faculty at IIIT Diu International campus and Saurashtra University. She has been selected in top 10 women scientists and awarded Indo-US women in STEMM fellowship (2019) by DST, Government of India and IUSSTF jointly to pursue post-doctoral research at O

Inhalt

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.

Produkt-Details

• Erscheinungsdatum: 29.11.2025
• Reihe/Serie: Signals and Communication Technology
• Zusatzinfo: XV, 124 p. 43 illus., 41 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: AI in cancer detection • AI in Healthcare • Artificial Intelligence in Early Detection of Oral Cancer • Detection and Diagnosis of Oral Cancer using AI • Early Screening of Oral Cancer using AI
• ISBN-10: 3-032-05055-3 / 3032050553
• ISBN-13: 978-3-032-05055-7 / 9783032050557
• Zustand: Neuware