Chevron Left
Back to Evaluations of AI Applications in Healthcare

Learner Reviews & Feedback for Evaluations of AI Applications in Healthcare by Stanford University

4.6
stars
202 ratings

About the Course

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. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content....

Top reviews

JW

Apr 7, 2022

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

GL

Mar 5, 2021

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.

Filter by:

26 - 48 of 48 Reviews for Evaluations of AI Applications in Healthcare

By blue a

•

Dec 28, 2020

Outstanding informational content and operating platform!

By araba a

•

Nov 22, 2020

Through and engaging presentation. Thank you

By Hussain I

•

Jun 19, 2023

An excellent course. Very informative.

By William S

•

Dec 22, 2020

Best course in the program so far.

By Kabakov B

•

Oct 6, 2020

Good course for PM's :)

By richly I

•

Feb 18, 2024

THANKS VERY USEFUL

By shihyang y

•

Feb 25, 2024

it is very good

By Syed M

•

Jul 11, 2023

Awesome Course

By Daniela C

•

Dec 16, 2022

Great course!

By Dimosthenis D G

•

May 17, 2021

Great course!

By Stefany V

•

Jan 5, 2024

muito bom

By Dr V S

•

Aug 12, 2022

Great

By Tajan K

•

Dec 31, 2020

This course contains an extraordinary amount of considerations and information critical to the process of development and deployment of AI Applications in Healthcare. The topics include Evaluation Frameworks, Deployment Methodologies, Regulatory considerations, key considerations of fairness and bias in AI Applications, and Ethical considerations in AI. In many ways, any organization that intends to or is in the process of developing AI Applications should take these topics into consideration even before development begins. The material provided includes references to helpful frameworks and guidelines, which if used in the initial stages of the life cycle of an AI Application, would probably help reduce lead time, as also enable the deployment usage of the application in actual healthcare settings.

By Benjamin E

•

Jul 24, 2021

An imporatnt topic area, but a little hard to digest as it uses a lot of terminology and frameworks which are not necessarily well defined. I think it would benefit from some simplification into principles and language that are more relatable, still cross referenced to the technical/regulator terminology.

By Natalia K

•

Aug 25, 2021

There are several mistakes in the final exam questions. Check back. In terms of meaning, you can guess about the correct answer, but you need to fix it.

By Pierre J

•

Jul 10, 2022

Useful content, but there is a lot of repetition early in the course.

By Shiraz T

•

Dec 24, 2023

good source of information

By Richard J

•

Apr 7, 2021

Excellent

By zoi k

•

Nov 15, 2023

the content was really interesting, but it seemed it the way it was given was not interactive, it was just like "reading slides" and the videos had flaws at some points (glitches). Not a good impression when the last chapter was just text, not including videos

By Petra H

•

Jan 16, 2024

Material was useful and described in depth. The English text transcription of the presentation however contained many errors and poor grammar, making the transcript confusing at times.

By Yuanqin M

•

Jan 21, 2021

too many theories but no practica examples or exercises

By Francesca M B

•

Jan 8, 2022

Very US focused

By Trinh D D ( H

•

Jul 14, 2023

very disappointed with week 7