AI Frontiers

Name: AI Frontiers
Price: 77.99 USD
Availability: InStock
ISBN: 9781032991498

Transforming Health, Agriculture, and Education

by Sonia Juneja, Irphan Ali, Prabhat Kumar Srivastava, Valentina Emilia Balas, Monika Nagar

1st Edition

Publisher: CRC Press

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Book Details

Print ISBN	9781032991498
eText ISBN	9781040423660
Publisher	CRC Press
Publishing Year	2025
Edition	1st Edition
Language	English
Pages	292

AI Frontiers: Transforming Health, Agriculture, and Education, 1st Edition, offers a comprehensive examination of artificial intelligence applications within essential service sectors. Designed for researchers, academics, and organizational decision-makers, the text outlines how machine learning methods refine daily operations and support complex analytical tasks across diverse institutional settings.

The main thematic coverage spans clinical diagnostic tools, precision agricultural methods, and modern instructional strategies. Core sections investigate predictive analytics for health outcome monitoring alongside process automation in field farming. Furthermore, the text addresses critical data privacy challenges and ethical deployment standards, contextualizing computational practices around the United Nations Sustainable Development Goals.

Published by CRC Press, this 2025 volume incorporates eighty black-and-white illustrations across its two hundred ninety-two pages to support technical readability. The resulting compilation equips industry professionals, policymakers, and students with verified reference points for evaluating automated tools in real-world environments.

Chapter 1: Role of AI in transforming different sectors of Industry 5.0
Chapter 2: Role of artificial intelligence in transforming banking sectors in Industry 5.0
Chapter 3: Generative AI for Industry 5.0 and sustainability: How artificial intelligence is transforming industries with smart technologies
Chapter 4: The role of AI in today’s healthcare: From prediction to management
Chapter 5: AI-powered tools for illness detection and diagnosis prediction: Indian perspectives and innovations
Chapter 6: Exploring the biomedical metaverse and its impact on healthcare innovation
Chapter 7: Multimodal emotion recognition from voice data using machine learning techniques: A comparative study
Chapter 8: Enabling enhanced patient care aided by artificial intelligence: HealthAI connect
Chapter 9: Ethics, privacy, and security in AI-driven healthcare
Chapter 10: Application of AI for the betterment of patient care
Chapter 11: Education in the age of AI: Redefining pedagogy and learning environments
Chapter 12: Generative AI in education: A case study for ESL learners
Chapter 13: Meta-synthesis analysis on artificial intelligence applications in healthcare: A qualitative synthesis of outcomes and effectiveness
Chapter 14: AI’s role in monitoring chronic disease and predicting health outcomes
Chapter 15: Monitoring agricultural health and drought conditions to support Papua New Guinea’s oil palm industry using multispectral satellite images
Chapter 16: Case studies of AI applications in healthcare
Chapter 17: Case studies of AI applications in agriculture
Chapter 18: Education in the age of AI