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.
Este curso faz parte do Programa de cursos integrados AI in Healthcare
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Informações sobre o curso
O que você vai aprender
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
oferecido por

Universidade 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.
Programa - O que você aprenderá com este curso
AI in Healthcare
Evaluations of AI in Healthcare
AI Deployment
Downstream Evaluations of AI in Healthcare: Bias and Fairness
Avaliações
- 5 stars68,80%
- 4 stars19,20%
- 3 stars6,40%
- 2 stars3,20%
- 1 star2,40%
Principais avaliações do EVALUATIONS OF AI APPLICATIONS IN HEALTHCARE
I was expecting the Medical genetics professor as a teacher also.
Thanks a lot for this great course, extremely practical, allowing to create a clear action plan for AI evaluation.
More examples would have been better to understand some of the concepts.
Nicely Framed and Executed in a simple language so anyone can catch up earliest.
Sobre Programa de cursos integrados 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.

Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever nesta Especialização?
Existe algum auxílio financeiro disponível?
Is this activity accredited for Continuing Medical Education (CME)?
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