Artificial Intelligence in Healthcare
Apple Academic Press Inc. (Verlag)
978-1-998511-06-8 (ISBN)
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This comprehensive book brings together a diverse collection of insights from experts in medicine, computer science, and data analytics to explore the evolving role of artificial intelligence in the healthcare sector. The chapters delve into various facets of AI applications, from legal considerations and mathematical foundations to the practical implementations of machine learning and deep learning in healthcare.
Sakshi Gupta, PhD, is an Associate Professor of Mathematics, Applied Sciences and Humanities at the Dronacharya College of Engineering, India. She has research experience in modeling and dynamic analysis of complex networks in interdisciplinary fields using computational and applied mathematical techniques. She has published research papers and book chapters and has attended many faculty development programs, seminars, and workshops. She has presented her research work at national and international conferences. Prof. Gupta holds a PhD degree in Mathematics with a specialization in Graph Theory from Amity University Gurugram, Haryana, India. Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India. He was previously the Research Head at Nijji HealthCare Pvt Ltd. He has authored several influential academic papers on public health and digital health and has been a keynote speaker at numerous international and national conferences. He is also a book series editor and editor of several books on biomedical science. Recognized for his contributions, he has received prestigious accolades, including being named the “Most Inspiring Young Leader in Healthtech Space 2022” by Business Connect and the title of the best project leader at Global Education and Corporate Leadership.
Foreword by Isha Malhotra Preface PART I: INTRODUCTION TO AI IN HEALTHCARE 1. Conundrums in Application of Artificial Intelligence (AI) in Modern Healthcare Systems: Legal Admissibility, Challenges, and Future Scope Lensing Safety, and Big Data Protection 2. Review on Role of Mathematical Foundations of AI in Healthcare PART II: DATA PROCESSING AND COLLECTION IN HEALTHCARE 3. Big Data Analytics in the Healthcare Sector PART III: AI APPLICATION IN DIAGNOSIS AND TREATMENT 4. Machine Learning Algorithms for Healthcare: Applications, Analysis, and Future Directions 5. Insights in Contemporary Machine Learning Approaches in the Diagnosis and Treatment of Migraines 6. Artificial Intelligence-Driven Diagnostic Systems 7. Exploring the Level of Students Mental Health Anxiety Utilizing the Application of Artificial Intelligence Algorithm PART IV: IMAGING AND DISEASE DETECTION 8. Deep Learning in Medical Imaging 9. Exploring Deep Learning Models for COVID-19 Detection from CT Scan and X-Ray Images 10. Using Machine Learning Techniques to Detect COVID-19, Pneumonia, and Tuberculosis (TB) Based on Analysis for Chest X-Ray Images 11. Skin Cancer Detection Based on Color and Texture Feature-Based Extraction 12. Deep Learning Approach for Glioblastoma Brain Tumor Classification and Prevention 13. Multi-Label Machine Learning Techniques with Stacking CV Classifiers for the Optimal Medical Diagnosis of Cardiovascular Diseases PART V: ROBOTICS, AUTOMATION, AND VIRTUAL WORLDS IN HEALTHCARE 14. Enhanced Chatbot Assistance for Patient Healthcare 15. Revolutionize Healthcare Using Metaverse Virtual Worlds and Augmented Reality Bentonite 16. Robotics and Automation in Healthcare PART VI: PHARMACEUTICAL AND BIOMEDICAL APPLICATION 17. AI in Drug Discovery and Development 18. The Emergence of Artificial Intelligence (AI) in Pharmaceutical and Biomedical Sciences PART VII: ETHICAL CONSIDERATIONS AND CHALLENGES 19. Transformative Advances and Ethical Considerations in AI-Driven Healthcare: A Comprehensive Exploration of Emerging Trends 20. Ethical Dilemma With AI: The Essential Evil to Be Dealt With PART VIII: FUTURE TRENDS AND DIRECTION 21. Rise in AI: A Transformative Tool in Emerging Trends in the Healthcare Sector 22. Navigating the Future: Collaborative AI-Human Dynamics in Rehabilitation 23. Emerging Trends in Healthcare Artificial Intelligence
| Erscheint lt. Verlag | 12.2.2026 |
|---|---|
| Zusatzinfo | 33 Tables, black and white; 133 Line drawings, black and white; 19 Halftones, black and white; 152 Illustrations, black and white |
| Verlagsort | Oakville |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Informatik ► Weitere Themen ► CAD-Programme | |
| ISBN-10 | 1-998511-06-5 / 1998511065 |
| ISBN-13 | 978-1-998511-06-8 / 9781998511068 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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