Overview

Natural Language Processing for Healthcare: The Rise of Intelligent Assistants addresses the critical gap between cutting-edge AI research and its practical applications in healthcare, offering an accessible guide tailored to the unique challenges of medical environments. It highlights how NLP technologies are revolutionizing patient care, medical documentation, and clinical decision-making while emphasizing ethical, legal, and interoperability considerations. Structured into four sections, the book begins by laying foundational knowledge in NLP and healthcare data, covering concepts such as tokenization, medical ontologies like UMLS and SNOMED CT, machine learning models, including BioBERT and ClinicalBERT, and emerging impacts of large language models like GPT. The applications section explores real-world implementations of intelligent assistants, such as virtual health chatbots, clinical documentation tools, conversational AI for patient engagement, and voice recognition integrated into electronic health records. Technical chapters provide insights into system architectures, evaluation metrics, data privacy, security, and interoperability standards like FHIR. The final section looks ahead to future directions including multilingual NLP, federated learning for privacy preservation, and the evolving landscape of AI-driven healthcare assistants. This book is an indispensable resource for a broad audience.

Full Product Details

Author:   Laxmi Shaw, PhD (Senior Postdoctoral Fellow, Dell Medical School,, University of Texas at Austin, Texas, USA) ,  Shubham Mahajan, PhD (Amity School of Engineering and Technology, Amity University Haryana., India) ,  Kamal Upreti, PhD (Associate Professor, Department of Computer Science, Christ (Deemed to be University), Delhi-NCR Ghaziabad, Uttar Pradesh, India)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780443452529

ISBN 10:   0443452520
Pages:   400
Publication Date:   02 March 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

Section I: Foundations of NLP in Healthcare 1. The Digital Health Revolution: Natural Language Processing Technologies Reshaping Patient Care and Medical Documentation 2. Large Language Models and Generative AI in Healthcare: Multimodal Intelligence, Clinical Integration, and the Future of Medical Practice 3. Navigating the Utility of Generative Artificial Intelligence in Healthcare Delivery 4. GENERATIVE ARTIFICIAL INTELLIGENCE IN MEDICINE Section II: Core Technologies and Approaches 5. Advancing Patient Care with Conversational AI: Applications, Challenges, and Future Directions 6. The Voice Revolution in Medicine: Reshaping Clinical Workflows with Voice Assistants and Speech Recognition 7. MACHINES THAT UNDERSTAND ILLNESS: Natural Language Processing based hospital kiosk systems 8. Telehealth Workspaces for Healthcare Providers Section III: Applications and Case Studies 9. AI-Driven Innovations in Infectious Disease Detection and Control 10. Depression Identification from Social Media using n-gram based Deep Neural Network 11. HeaLytix: Comparative Analysis of Classification Algorithms and Deep Learning Optimizers For Cardiac Disease Detection 12. 3D U-Net based Segmentation of Liver Vessels from Computed Tomography Images 13. Revolutionizing Patient Care with Digital Twins: A Smart Healthcare Perspective Section IV: Global, Ethical, and Technical Challenges 14. Legal And Regulatory Compliance In Digital Twin - Enabled Healthcare 15. Multilingual NLP, Personalisation, and Global Health 16. AI for Multilingual, Human Centered Personalization, and Public Health 17. Data Privacy, Security, and Ethics in Medical NLP 18. Federated Learning, Explainability, and the Road Ahead

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Author Information

Dr. Laxmi Shaw is a Postdoctoral Scholar at Texas State University, specializing in adversarial machine learning, large language models, and healthcare fraud analytics. She previously volunteered as a Senior Postdoctoral Researcher at UT Austin’s Dell Medical School, focusing on predictive biomarker modeling and inflammation detection using HPC. With over six years of industry and research experience at Samsung R&D and Carrier Corporation, her expertise includes AI-driven product development, IoT analytics, and digital twin modeling. Dr. Shaw earned her Ph.D. in Electrical Engineering (AI/ML) from IIT Kharagpur, India, and holds advanced degrees from Jadavpur and Sambalpur Universities. She has authored three books and over 35 peer-reviewed papers on AI/ML security, EEG processing, IoT anomaly detection, and GPU-accelerated healthcare analytics. A Senior IEEE member and award-winning researcher, she actively reviews for leading journals and is committed to ethical, explainable, and secure AI, especially in healthcare and adversarial contexts. Dr. Shubham Mahajan, a distinguished member of prestigious organizations such as IEEE, ACM, and IAENG, boasts an impressive academic and professional background. He earned his B.Tech. degree from Baba Ghulam Shah Badshah University, his M.Tech. degree from Chandigarh University, and his Ph.D. degree from Shri Mata Vaishno Devi University (SMVDU) in Katra, India. Dr. Mahajan has a remarkable track record in the field of artificial intelligence and image processing, holding an impressive portfolio of eleven Indian patents, as well as one Australian and one German patent. His contributions to the field are further evidenced by his extensive publication record, which includes over 100+ articles published in peer-reviewed journals, conferences and 10+ books. His research interests span a wide array of topics, encompassing image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods, optimization, data mining, machine learning, robotics, and optical communication. Notably, his dedication and expertise have earned him the 'Best Research Paper Award' from ICRIC 2019, published by Springer in the LNEE series. In recognition of his exceptional achievements, Dr. Mahajan has received numerous accolades and honours throughout his career. These include the Best Student Award in 2019, the IEEE Region-10 Travel Grant Award in 2019, the 2nd runner-up prize in the IEEE RAS HACKATHON in 2019 (held in Bangladesh), the IEEE Student Early Researcher Conference Fund (SERCF) in 2020, the Emerging Scientist Award in 2021, and the IEEE Signal Processing Society Professional Development Grant in 2021. His commitment to excellence in research was further underscored by his receipt of the Excellence in Research Award in 2023. Dr. Mahajan's impact extends beyond the realm of academia. He has served as a Campus Ambassador for IEEE, representing esteemed institutions such as IIT Bombay, Kanpur, Varanasi, Delhi, as well as various multinational corporations. His active engagement in fostering international research collaborations reflects his enthusiasm for advancing the frontiers of knowledge and innovation on a global scale. Dr. Kamal Upreti is an Associate Professor in the Department of Computer Science at CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India. He holds a B.Tech (Hons) from UPTU, an M.Tech (Gold Medalist), a PGDM (Executive) from IMT Ghaziabad, a Ph.D. in Computer Science & Engineering, and completed a postdoc at National Taipei University of Business, Taiwan, funded by MHRD. With over 15 years of teaching, research, and corporate experience, Dr. Upreti has published 50+ patents, 32 magazine issues, 110+ research papers, and authored or edited 45+ books with publishers like CRC Press and Oxford. His expertise spans modern physics, data analytics, cybersecurity, machine learning, healthcare, embedded systems, and cloud computing. He has worked with organizations including HCL, NECHCL, Hindustan Times, and various academic institutes. Notable projects include Japan’s “Hydrastore,” India’s Integrated Power Development Scheme (IPDS), and a significant ICMR-funded cardiovascular disease prediction project (₹80 Lakhs) in collaboration with GB Pant and AIIMS Delhi. He has secured funding from DST SERB (₹5 Lakhs) for ICSCPS-2024 and AICTE-IBIP (₹10 Lakhs) for 2024-2026. Dr. Upreti frequently serves as a session chair, keynote speaker, corporate trainer, and faculty developer. He has been honored as Best Teacher, Best Researcher, and Gold Medalist in his M.Tech program.

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