| Description |
1 online resource (325 p.) |
| Contents |
Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- About the Authors -- Contributors -- 1. Artificial Intelligence (AI) in Healthcare: Issues, Applications, and Future -- 1.1 Introduction -- 1.2 Revolutions of Artificial intelligence (AI) in Medical Field -- 1.3 Application Areas of AI in Healthcare -- 1.3.1 Patient Care -- 1.3.2 Medical Imaging and Diagnostic -- 1.3.3 Research and Development -- 1.3.4 Healthcare Management -- 1.3.5 Artificial Intelligence in Statistical Analysis -- 1.3.5.1 Pharmaceutical Use -- 1.3.5.2 Outbreak Prevention and Tracking |
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1.3.5.3 Genetics -- 1.4 Use in the Development of Medicine and Vaccines -- 1.4.1 Challenges Faced in Drug Development -- 1.4.2 AI in Drug Development -- 1.4.3 AI in Pattern Recognition -- 1.5 Limitation of Artificial Intelligence in Healthcare -- 1.5.1 Security Concerns -- 1.5.2 Information Accessibility Training -- 1.5.3 Predisposition and Imbalance -- 1.5.4 Wounds and Blunders -- 1.6 Predictions of Future Artificial Intelligence (AI) in Healthcare -- 1.7 Conclusion and Future Work -- References |
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2. Artificial Intelligence in Medical Imaging for Developing Countries: Challenges and Opportunities -- 2.1 Introduction -- 2.2 Machine Learning and Deep Learning -- 2.3 AI Healthcare in India -- 2.3.1 Government Initiatives -- 2.3.2 The Startups in India -- 2.4 Background and Related Work -- 2.4.1 Medical Imaging -- 2.5 Methodology -- 2.6 Issues and Challenges in Indian Healthcare Sector -- 2.7 Challenges of AI in Healthcare -- 2.8 Applications of AI -- 2.9 Opportunities in AI Healthcare -- 2.9.1 Medical Imaging -- 2.9.2 Pharmaceutical Discovery -- 2.9.3 Disease Identification |
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2.9.4 AI-enabled Surgery -- 2.9.5 Diseases Prediction -- 2.10 Study Findings -- 2.11 Present and Future Scope -- 2.12 Conclusion -- Acknowledgments -- References -- 3. Artificial Intelligence in Medical Imaging -- 3.1 Image Segmentation -- 3.2 Watershed Algorithm -- 3.2.1 Watershed with Distance Transform -- 3.2.2 Gradient-Based Method -- 3.2.3 Marker-Controlled Methods -- References -- 4. Medical Image Fusion: Transforms Techniques-Based Comparative Analysis for Brain Disease -- 4.1 Introduction -- 4.1.1 Non-Subsampled Shearlet Transform (NSST) -- 4.1.2 Description of NSCT |
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4.2 Proposed Hybrid Algorithm (NSCT-NSST) -- 4.2.1 An Overview of Proposed (NSCT-NSST) Algorithm -- 4.2.2 Applying NSST to the NSCT Decomposed Image -- 4.3 Results and Discussion -- 4.4 Conclusion -- References -- 5. Artificial Intelligence and Medical Visualization -- 5.1 Introduction -- 5.1.1 Artificial Intelligence -- 5.1.2 Artificial Intelligence in Healthcare -- 5.2 Fundaments of Medical Visualization -- 5.2.1 Early Stage -- 5.2.2 Current Trends -- 5.3 AI Techniques in Medical Visualization -- 5.3.1 ML in Medical Visualization -- 5.3.1.1 What Is Machine Learning? |
| Notes |
Description based upon print version of record |
|
5.3.1.2 Algorithm of Machine Learning |
| Subject |
Artificial intelligence -- Medical applications
|
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Medical care -- Technological innovations
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Artificial intelligence -- Medical applications.
|
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Medical care -- Technological innovations.
|
| Form |
Electronic book
|
| Author |
Tripathi, Khushboo
|
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Krishen, Kumar
|
| ISBN |
9781000905991 |
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1000905993 |
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