Artificial Intelligence in Oncology
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The book explores the integration of AI into cancer research and treatment. It covers how AI is transforming cancer diagnosis, improving the accuracy of imaging techniques, and predicting patient outcomes. The content includes discussions on machine learning algorithms for early detection, personalized medicine approaches, and AI-driven drug discovery. Additionally, the book addresses ethical concerns, challenges in implementing AI in clinical practice, and real-world case studies showing the impact of AI in oncology.
The editors hope that the book can inspire new generations of doctors,…mehr

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Produktbeschreibung
The book explores the integration of AI into cancer research and treatment. It covers how AI is transforming cancer diagnosis, improving the accuracy of imaging techniques, and predicting patient outcomes. The content includes discussions on machine learning algorithms for early detection, personalized medicine approaches, and AI-driven drug discovery. Additionally, the book addresses ethical concerns, challenges in implementing AI in clinical practice, and real-world case studies showing the impact of AI in oncology.

The editors hope that the book can inspire new generations of doctors, engineers, and researchers to continue innovating in the field of cancer treatment through AI. The book is meant to serve as a guide for both healthcare and technology professionals in advancing cancer care through AI applications. Medical students, AI researchers, and academics may use the book as a comprehensive guide to understanding the intersection of AI technology and oncology.
Autorenporträt
Dr. Sachi Nandan Mohanty has been recognized among the Top 2% of World Scientists by Stanford University and Elsevier for the years 2022, 2023, and 2024. He earned his Ph.D. from IIT Kharagpur in 2015 with an MHRD scholarship and completed his Postdoctoral Fellowship at IIT Kanpur in 2019. His research spans data mining, big data analytics, cognitive science, fuzzy decision-making, brain-computer interfaces, and computational intelligence. Dr. Mohanty has authored and edited books published by renowned publishers, and has published over 240 high-quality international journal papers and guided nine Ph.D. scholars and 23 postgraduate students. He received four Best Paper Awards, including recognition from an international conference in Beijing and IIT Roorkee. His Ph.D. thesis was awarded first prize by the Computer Society of India in 2015. He has been granted international travel support four times by India s Department of Science and Technology (DST) for presenting papers and delivering keynote talks globally. He is a Fellow of IEI, IETE, an EAI Ambassador, and a Senior Member of IEEE (Hyderabad Chapter). Dr. Mohanty has also received accolades like the Prof. Ganesh Mishra Memorial Award and Prof. Bhubaneswar Behera Lecture Award from IEI, and Fellow of Indian National Academy of Engineering (INAE).
Álvaro Rocha is recognized among the World s Top 1% Scientists by Stanford University and Elsevier, Top 0.05% by ScholarGPS, and Top 1% by ResearchGate in Information Science and Information Systems. He is a Professor at ISEG, University of Lisbon, and also serves as an Honorary Professor at Amity University and Invited Professor at the University of Calabria. He holds a D.Sc. in Information Science, a Ph.D. in Information Systems, and degrees in Information Management and Computer Science. Prof. Rocha is President of ITMA, Vice-Chair of IEEE SMC Portugal Chapter, and CEO of AMARITS Consulting. He is also the Scientific Manager of a Springer-Nature book series and researcher at ADVANCE and CINTESIS. His work focuses on information systems quality, e-Government, e-Health, and intelligent systems.

Dr. Pushan Kumar Dutta is an Assistant Professor Grade III at Amity University Kolkata in the Electronics and Communication Engineering department. He holds a Ph.D. from Jadavpur University and completed a post-doctorate as an Erasmus Mundus Scholar under the European Union Leaders Program (2015 2016) at the University of Oradea. His research interests include data mining, AI, edge computing, and predictive analytics, with applications in smart cities, healthcare, and sustainability. Dr. Dutta has published over 114 Scopus-indexed articles and numerous works in IEEE Xplore and Springer Lecture Notes. A recipient of the Mentor of Change by NITI Aayog and other awards, he is known for his innovative teaching methods, two Indian patents, and international contributions, including winning an international white paper contest.