Methods and Algorithms of Ensuring Data Privacy in AI-Based Healthcare Systems and Technologies

Area of Science:

• Computer Science
• Medical Informatics
• Data Security

Background:

• Healthcare data is increasingly utilized in Artificial Intelligence (AI) systems.
• Ensuring patient data privacy is a critical challenge in AI-driven healthcare.
• Existing privacy-preserving methods require comprehensive review and enhancement.

Approach:

• Devising novel algorithms and techniques for AI-powered healthcare systems.
• Conducting an empirical study of current AI privacy protection developments in healthcare.
• Compiling a literature review of modern approaches and technologies for healthcare data privacy.

Key Points:

• Focus on developing robust privacy-preserving algorithms.
• Evaluation of contemporary technologies for securing health data.
• Empirical analysis of the AI privacy landscape in the medical field.

Conclusions:

• The project aims to establish new standards for data privacy in healthcare AI.
• A comprehensive literature review will guide future research and development.
• Novel techniques will be proposed to guarantee the confidentiality of patient data.