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

4.5
stars
256 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.

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26 - 50 of 60 Reviews for Evaluations of AI Applications in Healthcare

By Dr C S

Dec 8, 2020

I was expecting the Medical genetics professor as a teacher also.

By Daniel H

Dec 22, 2020

This course was really fulfiling and I enjoyed it very much.

By Faisal N

Dec 22, 2024

One of the most important courses in this specialization.

By Troy W

Sep 15, 2024

Very thorough with clear and concise information delivery

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 süheyla t

Jun 23, 2024

It was very beneficial.

By Kabakov B

Oct 6, 2020

Good course for PM's :)

By Reshikeshva U

Feb 18, 2024

THANKS VERY USEFUL

By shihyang y

Feb 25, 2024

it is very good

By PAUL E M R

Oct 23, 2024

muy buen curso

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 Aijaz P

Aug 9, 2024

Excellent

By 권광현

Apr 14, 2024

도움이 되었습니다

By Stefany V

Jan 5, 2024

muito bom

By Dr V S

Aug 12, 2022

Great

By Parisa a

Jul 17, 2024

good

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 Ee V T

Jul 6, 2024

Speaker appears to be reading off a prompter, and sometimes loses track of the sentence. Also links to articles require subscription, which limits use. However content is amazing, so much to learn and think about.

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.