AI & Blockchain in Healthcare

1. Key Studies & Findings

1.1. AI in Medical Imaging & Diagnosis

1.1.1. Maleki Varnosfaderani & Forouzanfar (2024)

1.2. Blockchain for Data Security & EHR Management

1.2.1. Agbo et al. (2019)

1.3. AI-driven Clinical Decision Support Systems

1.3.1. Alanazi (2023), Jumper et al. (2021)

1.4. Telemedicine & Digital Health Innovations

1.4.1. Kruse et al. (2017), Pak et al. (2023)

2. Future Directions

2.1. Advancements in AI-powered Decision Support

2.1.1. Alanazi (2023)

2.2. Integration of Blockchain for Secure Healthcare Data

2.2.1. Angraal et al. (2017)

2.3. AI & Blockchain Synergy in Personalized Medicine

2.3.1. Al Kuwaiti et al. (2023)

3. Introduction & Background

3.1. Overview of AI & Blockchain in Healthcare

3.1.1. Al Kuwaiti et al. (2023)

3.2. Importance of Secure & Efficient Data Management

3.2.1. Kuo et al. (2017)

3.3. Evolution of AI in Clinical Decision Support

3.3.1. Nagendran et al. (2020)

4. Current Challenges & Limitations

4.1. Ethical Concerns & AI Bias

4.1.1. Farhud & Zokaei (2021)

4.2. Regulatory Compliance & Security Risks

4.2.1. Hernandez-Boussard et al. (2020)

4.3. Interoperability Issues in EHR Systems

4.3.1. Kuo et al. (2017)

5. Conclusion

5.1. Summary of Key Findings

5.2. Potential for Future Research

5.3. Implications for Healthcare Technology