Del i serien Signals and Communication Technology

Artificial Intelligence for Early Detection and Diagnosis of Lung Cancer

Nyhet

Inbunden, Engelska, 2026

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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.

Produktinformation

Utgivningsdatum2026-07-07
Mått155 x 235 x 15 mm
Vikt416 g
FormatInbunden
SpråkEngelska
SerieSignals and Communication Technology
Antal sidor143
FörlagSpringer Nature Switzerland AG
ISBN9783032296146

Tillhör följande kategorier

Biomedicinsk teknik inom Medicin
Tillämpad datateknik inom Data och IT
Onkologi inom Medicin
Artificiell intelligens inom Data och IT

Dr. Sejal Shah is working as an Associate Professor and Head at Department of Bioinformatics, Marwadi 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 USA and she joined Ohio State University for research in pediatric leukemia. She has been selected among 15 women scientists all over India by DST, KIRAN division for cancer research training organized at Mysore University, Mysore in 2018. She has been also awarded “Woman Scientist Fellow” in May 2012, in Women Scientist Scheme-A (DST/ WOS-A) of Department of Science and Technology, New Delhi, Government of India. Recently during October 2024, Dr. Shah was invited as an expert speaker and program coordinator for the Reverse Vaccinology workshop by IEEE HTC 25 at Chiba University, Tokyo, JAPAN and IEEE HTC 24 at Kuala Lumpur, Malaysia during October 2024. Moreover, she has served as an Erasmus plus Faculty at University of Pitesti, Romania as well, as a part of Erasmus plus Faculty mobility Program funded by European union during October 2023. She has 14 years of experience in the field of Cancer omics research, Artificial Intelligence, Machine learning, Biotechnology, Bioinformatics and Nanotechnology. During this period, she has been actively involved in the teaching and cancer research. Dr. Shah also extending her duty as a Cancer Geneticist and molecular tumor board member at several Cancer hospitals in Gujarat specially for hereditary cancers. She and her team currently working on oral cancer, cervical cancer and breast cancer. She is an advisor of IEEE EMBS (Engineering in Medicine and Biology) student branch chapter, Marwadi University, Gujarat section. She is IEEE WIE (Women in Engineering) member of Gujarat Section. She is associate member of American Association of Cancer Research (AACR) and scientific decoder at COVID 19 Omics Research Consortium (CORC). She has more than 67 publications, 2 authored books on oral cancer and cervical cancer by Springer Nature, 9 patents and number of research projects completed to her credit from various funding agencies.Dr. Rohit Thanki is an expert in Artificial Intelligence, Medical Informatics, and Digital Health with experience in enterprise AI and Healthcare AI in India, the Middle East, and Germany. Previously, he served in a senior leadership role at KRiAN GmbH, where he developed CE-certified Software as a Medical Device (SaMD) for medical diagnostics and rehabilitation. He was also Head of Research & Development at Prognica Labs in Dubai, focusing on AI-driven breast cancer screening solutions. He holds a Ph.D. in Electronics and Communication Engineering from C. U. Shah University, India, with research on privacy-preserving multibiometric systems. He also has bachelor's and master's degrees in Electronics and Communication Engineering. His research interests include explainable AI for healthcare, medical imaging, biomedical signal processing, multimodal and generative AI systems, and regulatory-compliant clinical AI agents. He has contributed to the development of AI systems covering X-ray, CT, MRI, ultrasound, mammography, histopathology, and physiological data analysis. He has taught courses in image processing, signal processing, communication systems, navigational and radar communication, satellite communication, and VLSI as an Assistant Professor and Visiting Lecturer in India. He serves on Ph.D. examination boards and supervises postgraduate research in both India and Germany. He has published over 110 Scopus-indexed articles and 20 scholarly books, with more than 1,800 citations and a strong h-index. He is a Senior Member of IEEE, an editorial board member for BMC Digital Health and PLOS One, and an active peer reviewer for leading journals.