توضیحاتی در مورد کتاب Artificial Intelligence and Machine Learning in Public Healthcare: Opportunities and Societal Impact
نام کتاب : Artificial Intelligence and Machine Learning in Public Healthcare: Opportunities and Societal Impact
ویرایش : 1st ed. 2021
عنوان ترجمه شده به فارسی : هوش مصنوعی و یادگیری ماشین در مراقبت های بهداشتی عمومی: فرصت ها و تأثیر اجتماعی
سری : SpringerBriefs in Applied Sciences and Technology
نویسندگان : KC Santosh
ناشر : Springer
سال نشر : 2021
تعداد صفحات : 93
ISBN (شابک) : 9811667675 , 9789811667688
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 2 مگابایت
بعد از تکمیل فرایند پرداخت لینک دانلود کتاب ارائه خواهد شد. درصورت ثبت نام و ورود به حساب کاربری خود قادر خواهید بود لیست کتاب های خریداری شده را مشاهده فرمایید.
فهرست مطالب :
Foreword
Preface
Summary
Contents
About the Authors
Acronyms
List of Figures
List of Tables
1 Introduction to AI in Public Health
1.1 Introduction
1.2 Role of AI
1.3 Timeline of AI in Healthcare
1.4 Use Cases of AI in Healthcare
1.5 Public Health Transformation Using AI
1.6 Limitations of AI in Healthcare
1.7 Challenges of AI
1.8 Summary
References
2 Open Public Health Issues
2.1 Background
2.2 Prominent Global Health Issues
2.3 Leading Public Health Issues
2.4 Threats to Public Health
2.5 Global Public Health and COVID-19
2.6 Obstacles to Practical Problem-Solving in Public Health
2.7 Reinforcing Preparedness for Health Emergencies and Resilience
2.8 Summary
References
3 AI Solutions to Public Health Issues
3.1 AI in Healthcare: Need and Opportunities
3.2 AI Investment in Healthcare Business
3.3 AI in Healthcare: Opportunities
3.3.1 AI-Based Medical Imaging
3.3.2 AI in Drug Discovery
3.3.3 AI in Clinical Practices
3.3.4 AI in Primary Care
3.3.5 AI in Cardiology
3.4 Using AI to Augment Public Health Issues
3.5 Leveraging AI for the Future of Healthcare
3.6 Summary
References
4 AI in Sustainable Public Healthcare
4.1 Background
4.2 AI for Resolving Global Public Health Challenges
4.3 Challenges
4.4 Summary
References
5 AI in Precision Medicine
5.1 Background
5.2 Precision Medicine and AI
5.3 Critical Success Factors of AI for Precision Medicine
5.4 Growing Role of Disruptive Technologies in Precision Medicine
5.5 Challenges to AI Adoption in Healthcare
5.6 Ethical Issues
5.7 Future Synergies Between AI and Precision Medicine
5.8 Summary
References
6 Societal Impact:- AI in Public Health Issues
6.1 Background
6.2 AI for Social Goodness
6.3 Societal Concerns of AI in Public Health
6.4 Challenges
6.5 Summary
References
7 Case Studies—AI for Infectious Disease
7.1 Prelude
7.2 Dimensions of AI for Combating Infectious Diseases
7.3 Case 1: AI for COVID-19 (SARS-CoV-2) Pandemic
7.4 Case 2: AI for Tuberculosis Detection
7.5 Case 3: AI for Influenza
7.6 Summary
References
8 Privacy, Security, and Ethical Issues
8.1 Background
8.2 Data Privacy and Protection Issues
8.3 Security Issues
8.4 Ethical Dimensions of AI
8.5 Summary
References