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.
Ce cours fait partie de la Spécialisation AI in Healthcare
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À propos de ce cours
Ce que vous allez apprendre
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
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Université de Stanford
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Programme de cours : ce que vous apprendrez dans ce cours
AI in Healthcare
Evaluations of AI in Healthcare
AI Deployment
Downstream Evaluations of AI in Healthcare: Bias and Fairness
Avis
- 5 stars68,80 %
- 4 stars19,20 %
- 3 stars6,40 %
- 2 stars3,20 %
- 1 star2,40 %
Meilleurs avis pour EVALUATIONS OF AI APPLICATIONS IN HEALTHCARE
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.
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
Outstanding informational content and operating platform!
I was expecting the Medical genetics professor as a teacher also.
À propos du Spécialisation AI in Healthcare
Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.

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