5 Harnessing the metaverse for healthcare innovation: exploring predictive analytics and AI-driven personalization
-
Arun Singh
Abstract
This chapter offers a comprehensive examination of the ways in which predictive analytics and artificial intelligenceartificial intelligence (AI) are revolutionizing healthcare in the metaverse. The text explores the amalgamation of Big Data and machine learning to develop customized, instantaneous healthcare solutions that improve patient outcomes and involvement. The chapter examines the ethical and practical difficulties associated with the implementation of these technologiestechnologies, with the support of real-world case studies. Furthermore, it foresees upcoming patterns and envisions a comprehensive metaverse healthcare system that transforms the way care is provided, enhancing efficiency, accessibility, and personalization. In conclusion, this chapter highlights the significance of predictive analytics and AI in the continuous advancement of healthcare, presenting new opportunities for patient-focused treatment in virtual settings.
Abstract
This chapter offers a comprehensive examination of the ways in which predictive analytics and artificial intelligenceartificial intelligence (AI) are revolutionizing healthcare in the metaverse. The text explores the amalgamation of Big Data and machine learning to develop customized, instantaneous healthcare solutions that improve patient outcomes and involvement. The chapter examines the ethical and practical difficulties associated with the implementation of these technologiestechnologies, with the support of real-world case studies. Furthermore, it foresees upcoming patterns and envisions a comprehensive metaverse healthcare system that transforms the way care is provided, enhancing efficiency, accessibility, and personalization. In conclusion, this chapter highlights the significance of predictive analytics and AI in the continuous advancement of healthcare, presenting new opportunities for patient-focused treatment in virtual settings.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- List of contributors IX
- 1 Leveraging computational intelligence and mathematical modeling for sustainable future in agriculture: a unified paradigm for recognizing tomato leaf diseases 1
- 2 Digital dawn: how immersive technologies are shaping a sustainable future 37
- 3 Sustainable intelligence: ethical issues in the evolution of intelligent systems 57
- 4 Energy sustainability and computational intelligence based routing protocols in WSN: an analytical survey 75
- 5 Harnessing the metaverse for healthcare innovation: exploring predictive analytics and AI-driven personalization 91
- 6 Toward a sustainable future: a computational intelligence fusion framework of color and darknet features for the classification of crop leaf diseases 109
- 7 Sustainable computing approaches for complex medical image analysis: a neurodiagnostic perspective 139
- 8 Sustainability with artificial intelligence: obstacles, opportunities, and research agenda 161
- 9 Smart solutions to a sustainable future 177
- 10 Ethical issues in intelligent systems for sustainability 195
- 11 CPS: cyber-physical system security for the Industrial Internet of Things in smart grid 215
- 12 Integrating mathematical computing and deep learning for efficient monkeypox skin lesion detection: A pathway to sustainable health solutions 253
- 13 Leveraging heuristics based on CK Metrics Suite for quality enhancement in sustainable quantum software development 271
- 14 Intelligent systems for fire management and sustainability 297
- 15 Transparent and sustainable AI for brain tumor detection: from conventional to hybrid models in predictive healthcare 323
- Index 349
- Mathematical Methods in the Digital Age
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- List of contributors IX
- 1 Leveraging computational intelligence and mathematical modeling for sustainable future in agriculture: a unified paradigm for recognizing tomato leaf diseases 1
- 2 Digital dawn: how immersive technologies are shaping a sustainable future 37
- 3 Sustainable intelligence: ethical issues in the evolution of intelligent systems 57
- 4 Energy sustainability and computational intelligence based routing protocols in WSN: an analytical survey 75
- 5 Harnessing the metaverse for healthcare innovation: exploring predictive analytics and AI-driven personalization 91
- 6 Toward a sustainable future: a computational intelligence fusion framework of color and darknet features for the classification of crop leaf diseases 109
- 7 Sustainable computing approaches for complex medical image analysis: a neurodiagnostic perspective 139
- 8 Sustainability with artificial intelligence: obstacles, opportunities, and research agenda 161
- 9 Smart solutions to a sustainable future 177
- 10 Ethical issues in intelligent systems for sustainability 195
- 11 CPS: cyber-physical system security for the Industrial Internet of Things in smart grid 215
- 12 Integrating mathematical computing and deep learning for efficient monkeypox skin lesion detection: A pathway to sustainable health solutions 253
- 13 Leveraging heuristics based on CK Metrics Suite for quality enhancement in sustainable quantum software development 271
- 14 Intelligent systems for fire management and sustainability 297
- 15 Transparent and sustainable AI for brain tumor detection: from conventional to hybrid models in predictive healthcare 323
- Index 349
- Mathematical Methods in the Digital Age
