With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions.
提供:
このコースについて
学習内容
Principles and practical considerations for integrating AI into clinical workflows
Best practices of AI applications to promote fair and equitable healthcare solutions
Challenges of regulation of AI applications and which components of a model can be regulated
What standard evaluation metrics do and do not provide
シラバス - 本コースの学習内容
AI in Healthcare
Evaluations of AI in Healthcare
AI Deployment
Downstream Evaluations of AI in Healthcare: Bias and Fairness
レビュー
- 5 stars69.78%
- 4 stars18.70%
- 3 stars6.47%
- 2 stars2.87%
- 1 star2.15%
EVALUATIONS OF AI APPLICATIONS IN HEALTHCARE からの人気レビュー
This course was really fulfiling and I enjoyed it very much.
This course was really valuable for linking and embedding my knowledge gained by reading FDA guidance documents and knowledge sharing from my Quality Assurance and Regulatory Affairs colleagues
This is a holistic course giving all perspectives and knowledge on the different aspects of evaluating all kind of AI driven solutions in healthcare. A must do for all healthcare Managers.
More examples would have been better to understand some of the concepts.
AI in Healthcare専門講座について

よくある質問
いつ講座や課題にアクセスできるようになりますか?
この専門講座をサブスクライブすると何を行うことができるようになりますか?
学資援助はありますか?
Is this activity accredited for Continuing Medical Education (CME)?
さらに質問がある場合は、受講者ヘルプセンターにアクセスしてください。