Zade / Kumar | Harnessing the Power of Artificial Intelligence to Transform Healthcare Practices | Buch | 978-3-032-34957-6 | www.sack.de

Buch, Englisch, 386 Seiten, Format (B × H): 155 mm x 235 mm

Zade / Kumar

Harnessing the Power of Artificial Intelligence to Transform Healthcare Practices


Erscheinungsjahr 2026
ISBN: 978-3-032-34957-6
Verlag: Springer

Buch, Englisch, 386 Seiten, Format (B × H): 155 mm x 235 mm

ISBN: 978-3-032-34957-6
Verlag: Springer


This contributed volume explores how Artificial Intelligence (AI) is transforming healthcare by enhancing diagnostics, treatment, and patient management. Various chapters explore AI’s role in medical imaging, predictive analytics, personalized medicine, robotic surgery, virtual assistants, and remote monitoring systems. The volume examines how AI-driven technologies leverage big data to improve accuracy, efficiency, and accessibility in healthcare. Additionally, it addresses the ethical concerns, legal implications, and integration challenges that arise with integrating AI technologies into clinical practice. The discussions in this book provide insight into the impact AI has in reshaping medical research and drug discovery as well as its future potential, particularly in the realms of global health equity, patient outcomes, and the overall advancement of modern medicine. Written for healthcare professionals, researchers, policymakers, and tech enthusiasts, this book is a vital resource for understanding how artificial intelligence is not only changing the practice of medicine but revolutionizing the future of healthcare.

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Weitere Infos & Material


An Explainable AI Framework for Personalized Medication and Diet Planning.- Virtual Assistants and Chatbots: Enhancing Patient Engagements.- Healthcare Treatment Optimization System: An Intelligent Multi-Criteria Decision Support Framework for Personalized Medicine.- Clinical Resource Orchestration: AI-Driven Healthcare Resource Management.- Empowering Clinical Diagnosis with Emotionally Intelligent AI: A  Deep Ensemble Framework for Skin Cancer Detection.- Artificial Intelligence and Mental Health: De-Stigmatizing Care through Cognitive and Rational-Emotive Digital Interventions.- Predictive Analytics for Breast Cancer Recurrence: An Explainable Machine Learning Approach with XGBoost and LightGBM.- Explainable AI based Healthcare Recommendation Systems for Transparent and Personalized Care.- Explainable AI based Diabetes Prediction.- Deep Learning Approaches for MRI-Based Brain Tumor Detection and Segmentation: A Comprehensive Review.- AI-Powered Diagnostic Systems for Chest Imaging: Current Trends and Innovations.- Foundational Insights into Deep Learning for Parkinson’s Disease Diagnosis: A Systematic Literature Review.- Integrating AI into Clinical  Workflows: Overcoming Barriers for Clinical Trust.- Graph Neural Network Framework of Predictive Optimization of Smart Healthcare Systems.- MedGPT: A Domain-Specific Large Language Model for Automated Clinical Reasoning and Decision Support.- Enhancing Automated Medical Question  Answering using Large Language Models on  MedQuAD and PubMedQA.- From Recovery Room to Revenue Stream: An Intelligent System for Post-Surgery Cost-Benefit Analysis.- Artificial Intelligence in Medical Emergency Decision Making: From Traditional Triage to Intelligent Specialist Routing.


Dr. Amol Zade is a distinguished academician, researcher, and Ph.D. supervisor with over 17 years of teaching and research experience in the field of Computer Science and Engineering. He holds a Ph.D. in Computer Science & Engineering and has successfully guided and undergraduate postgraduate projects. His research contributions include 35 publications in reputed peer-reviewed international journals indexed in Scopus/SCI/WoS and 30 conference publications. Dr. Zade has been actively involved in academic and professional development through participation in 30 FDPs/Workshops/STTPs, 8 seminars/workshops, and has organized 8 academic events. A strong advocate of continuous learning, Dr. Zade has completed 7 SWAYAM/NPTEL certification courses and earned 5 technical domain certifications. He is also the author/co-author of 4 books/book chapters. His innovative research work has resulted in granted patents and copyrights, reflecting a significant contribution to technological advancement and intellectual property creation. Dr. Zade continues to contribute to academia and research through mentoring scholars, fostering innovation, and advancing knowledge in emerging areas of Computer Science.

Dr. Manoj Kumar completed his Ph.D. from Northcap University and M.Sc. (Information Security and Digital Forensics) from Technological University Dublin, Ireland in 2013. Dr. Kumar has more than 16+ years of research, teaching, and corporate experience. Currently, Dr. Kumar holds the position of Associate Professor at the University of Wollongong in Dubai. In addition, he serves as the Research Cluster Head for Network and Cyber Security @UOWD. Dr. Kumar is listed among the top 2% of computer scientists worldwide. He published over 290 research articles in international refereed journals and conferences. He published over 12 patents, completed 10 research-funded grants, and released 3 authored and 16+ edited books. Dr. Kumar has also delivered more than 22+ keynote talks at international conferences and has conducted several short-term courses and FDPs. In addition, he acts as an editor, associate editor, guest editor, and editorial board member for several scientific journals. Dr. Kumar is a member of numerous renowned professional bodies, including IEEE, ACM, IAENG, ISTS, and UACEE. Dr. Kumar received the Best Researcher Award in 2020, an Outstanding Scientist Award, and a Young Researcher Award in 2021 from recognized international professional bodies. His specializations are Cyber Security, Intelligent Systems, Digital Forensics, Artificila Intelligence, Image Processing, IOT and Networks.  



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