Importance of criteria for evaluating AI technology in healthcare worldwide 2022

Published by

Feb 20, 2025

According to a survey conducted in 2022, production readiness was ranked as the most important criteria among healthcare organizations when evaluating a machine learning, NLP or computer vision solution. The next two highest-ranked indicators in the healthcare sector for AI models were state-of-the-art accuracy and healthcare-specific pre-trained models.

Mean rating given to the following requirements of evaluating an AI technology by healthcare organizations worldwide as of 2022 (1=Not important, 5=Very important)

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Statistic: Mean rating given to the following requirements of evaluating an AI technology by healthcare organizations worldwide as of 2022 (1=Not important, 5=Very important)

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Release date

March 2022

More information

Region

Worldwide

Survey time period

January 13, to March 4, 2022

Number of respondents

321 respondents

Age group

18 years and older

Special properties

Respondents in 41 countries worldwide (62 percent from the U.S.)

Method of interview

Online survey

Supplementary notes

Question was worded in the source as: "How important are the following requirements when evaluating a machine learning, NLP, or computer vision solution?"

1=Not Important, 5=Very Important.

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