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1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Structure of the Work 2. Artificial Intelligence Fundamentals 2.1 Definition and Key Concepts 2.2 History and Evolution of AI 2.3 AI in Healthcare 3. Physiotherapeutic Diagnostics Overview 3.1 Traditional Diagnostic Techniques 3.2 Advances in Diagnostic Methods 3.3 Role of Technology in Diagnostics 4. Integration of AI in Physiotherapy 4.1 Current AI Applications 4.2 AI Tools and Technologies 4.3 Case Studies and Use Cases 5. Opportunities of AI in Diagnostics 5.1 Accuracy and Efficiency Improvement 5.2 Personalization of Treatment 5.3 Data-Driven Decision-Making 6. Risks Associated with AI Implementation 6.1 Data Privacy Concerns 6.2 Reliability and Safety Issues 6.3 Dependency on AI Systems 7. Ethical Challenges in AI Usage 7.1 Informed Consent and Autonomy 7.2 Bias and Fairness in AI 7.3 Responsibility and Accountability 8. Future Prospects and Recommendations 8.1 Innovations in AI Technology 8.2 Policy and Regulation Needs 8.3 Strategies for Implementation
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