Earticle

초록

영어

In today's digital age where health data is increasingly stored, accessed, and shared electronically, ensuring the privacy and security of patient information has become a major concern. The potential risks associated with unauthorized access, data breaches, and privacy violations require innovative approaches to protect sensitive health data. This is where the power of artificial intelligence (AI) comes into play. AI innovations have emerged as a transformative force in healthcare and offer promising solutions to enhance privacy protection. This paper discusses how healthcare organizations can use artificial intelligence (AI) to protect patient privacy while extracting valuable insights from their data. It also expresses how AI techniques such as differential privacy and fused learning can help organizations collaborate, aggregate their data, and train machine learning models securely without compromising patient privacy. It emphasizes the importance of understanding the challenges and potential limitations of privacy-preserving techniques in this context and encourages stakeholders to collaborate on developing industry standards and best practices for privacy protection.

목차

Abstract
1. Introduction
2. Related Works
3. Artificial Intelligence and Privacy Protection
3.1. Privacy Risks in Health Services
3.2. Artificial Intelligence Solutions for Privacy Protection
3.3. Advanced Encryption and Anonymization Technique
3.4. Artificial Intelligence-Based Access Control and User Authentication
3.5. Privacy-Preserving Data Sharing and Analytics
3.6. Privacy Compliance and Regulations
3.7. Future Directions and Challenges
4. Conclusion
5. References

키워드

저자

• Ilhan Uysal [ Burdur Mehmet Akif Ersoy University, Turkey ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  IJICTDC [International Journal of Information Communication Technology and Digital Convergence]

• 간기

  반년간

• pISSN

  2466-0094

• 수록기간

  2016~2025

• 십진분류

  KDC 300 DDC 303