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Evaluations of AI Applications in Healthcare
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.
The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.
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Rating | Not enough ratings |
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Length | 8 weeks |
Starts | Jun 26 (45 weeks ago) |
Cost | $49 |
From | Stanford University via Coursera |
Instructors | Tina Hernandez-Boussard, Mildred Cho |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Science Data Science Programming |
Tags | Life Sciences Data Science Machine Learning Health Informatics |
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Rating | Not enough ratings |
---|---|
Length | 8 weeks |
Starts | Jun 26 (45 weeks ago) |
Cost | $49 |
From | Stanford University via Coursera |
Instructors | Tina Hernandez-Boussard, Mildred Cho |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Science Data Science Programming |
Tags | Life Sciences Data Science Machine Learning Health Informatics |
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