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Starts 7 June 2025 11:04
Ends 7 June 2025
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Operationalizing Reliability and Equity in Healthcare AI
Explore the challenges and solutions for implementing reliable and equitable AI systems in healthcare with Shalmali Joshi's insightful presentation from CGSI 2024.
Computational Genomics Summer Institute CGSI
via YouTube
Computational Genomics Summer Institute CGSI
2544 Courses
31 minutes
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Overview
Explore the challenges and solutions for implementing reliable and equitable AI systems in healthcare with Shalmali Joshi's insightful presentation from CGSI 2024.
Syllabus
- Introduction to AI in Healthcare
- Understanding Reliability in Healthcare AI
- Building Equitable AI in Healthcare
- Regulatory and Ethical Considerations
- Designing Reliable and Equitable AI Systems
- Challenges in Operationalizing AI in Healthcare
- Real-world Case Studies and Discussions
- Conclusion and Future Outlook
Overview of AI applications in healthcare
Importance of reliability and equity
Definition and significance of reliability
Challenges in achieving reliable AI systems
Case studies of reliable AI implementations
Definition and importance of equity
Addressing bias in AI systems
Strategies for promoting fairness and inclusion
Overview of legal frameworks
Ethical guidelines and best practices
Integration of reliability and equity in AI design
Tools and methodologies for assessment
Continuous monitoring and iterative improvements
Data privacy and security concerns
Interdisciplinary collaboration
Analysis of successful AI projects
Lessons learned and future directions
Evolving role of AI in healthcare
Emerging trends and innovations in reliability and equity
Subjects
Computer Science
