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Evaluations of AI Applications in Healthcare(으)로 돌아가기

스탠퍼드 대학교의 Evaluations of AI Applications in Healthcare 학습자 리뷰 및 피드백

4.5
별점
128개의 평가

강좌 소개

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....

최상위 리뷰

JW

2022년 4월 7일

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

RS

2021년 3월 5일

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.

필터링 기준:

Evaluations of AI Applications in Healthcare의 32개 리뷰 중 26~32

교육 기관: Tajan K

2020년 12월 31일

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.

교육 기관: Benjamin E

2021년 7월 24일

A​n 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.

교육 기관: Natalia K

2021년 8월 25일

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.

교육 기관: Pierre J

2022년 7월 10일

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

교육 기관: Richard J

2021년 4월 7일

Excellent

교육 기관: Yuanqin M

2021년 1월 21일

too many theories but no practica examples or exercises

교육 기관: Francesca M B

2022년 1월 8일

Very US focused