Importance of criteria for evaluating AI technology in healthcare worldwide 2021

Published by
Conor Stewart,
Nov 9, 2024
According to a survey conducted in 2021, 45 percent of respondents considered state-of-the art accuracy as a very important criteria when evaluating a machine learning, NLP or computer vision solutions in the healthcare sector. While a further 37 percent reported the ability to train your own models was a very important criteria when evaluating healthcare AI technologies.

How important are the following requirements when evaluating a machine learning, NLP, or computer vision solution?*

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Release date

March 2021

Region

Worldwide

Survey time period

December 7, 2020, to February 28, 2021

Number of respondents

373 respondents

Age group

18 years and older

Special properties

Respondents in 49 countries worldwide

Method of interview

Online survey

Supplementary notes

*1=Not Important, 5=Very Important.
Numbers may not sum to 100 due to rounding.

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Overview

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North American focus

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European focus

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Attitudes towards AI use

7

Future of AI in healthcare

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Topics

AI in healthcareMedical technologymHealthDigital healthArtificial intelligence (AI) worldwide
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