Natural Language Processing for Healthcare

Name: Natural Language Processing for Healthcare
Price: 200 USD
Availability: InStock
ISBN: 9780443452529

The Rise of Intelligent Assistants

by Laxmi Shaw, Shubham Mahajan, Kamal Upreti

1st Edition

Publisher: Academic Press

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Book Details

Print ISBN	9780443452529
eText ISBN	9780443452536
Publisher	Academic Press
Publishing Year	2026
Edition	1st Edition
Language	English
Pages	444

Natural Language Processing for Healthcare, 1st Edition, investigates computational language processing tools developed to support clinical operations and modern healthcare delivery. Authored by Laxmi Shaw, Shubham Mahajan, and Kamal Upreti, this 444-page book explores how specialized algorithmic models process unstructured medical text to assist intelligent clinical workflows.

The core technical coverage focuses on domain-adapted machine learning architectures and practical healthcare implementations. It analyzes specialized neural models including BioBERT and ClinicalBERT alongside general large language models such as GPT. Furthermore, the volume examines practical clinical tools, detailing virtual health chatbots, automated clinical documentation systems, and conversational artificial intelligence designed to support patient engagement.

Published by Academic Press as part of the Advances in Ubiquitous Sensing Applications for Healthcare series, this 444-page volume provides structured reference material for scientific study. The work offers technical analytical guidance for specialized research initiatives and university academic programs exploring computational health systems and medical software design.

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