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Share of healthcare leaders who reported the following strategies should be adopted to mitigate the risk of data bias in AI for healthcare worldwide as of 2024

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Source

Release date

June 2023

Region

Worldwide

Survey time period

December 2023 to March 2024

Number of respondents

2,800 respondents

Special properties

Healthcare leaders in 14 different countries

Method of interview

Telephone interviews and online survey

Supplementary notes

Multiple responses posible. 

Citation formats

Opinion on mitigating AI data bias in healthcare worldwide 2024

Published by
Conor Stewart,
Mar 20, 2025

According to a survey of healthcare leaders carried out globally in 2024, almost half of respondents believed that by making AI more transparent and interpretable, this would mitigate the risk of data bias in AI applications for healthcare. Furthermore, ** percent of healthcare leaders thought there should be continuous training and education in AI.

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