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Exponential growth of systematic reviews assessing artificial intelligence studies in medicine: challenges and opportunities.


ABSTRACT: The evidence-based medicine (EBM) movement is stepping up its efforts to assess medical artificial intelligence (AI) and data science studies. Since 2017, there has been a marked increase in the number of published systematic reviews that assess medical AI studies. Increasingly, data from observational studies are used in systematic reviews of medical AI studies. Assessment of risk of bias is especially important in medical AI studies to detect possible "AI bias".

SUBMITTER: von Groote T 

PROVIDER: S-EPMC9238033 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Exponential growth of systematic reviews assessing artificial intelligence studies in medicine: challenges and opportunities.

von Groote Thilo T   Ghoreishi Narges N   Björklund Maria M   Porschen Christian C   Puljak Livia L  

Systematic reviews 20220628 1


The evidence-based medicine (EBM) movement is stepping up its efforts to assess medical artificial intelligence (AI) and data science studies. Since 2017, there has been a marked increase in the number of published systematic reviews that assess medical AI studies. Increasingly, data from observational studies are used in systematic reviews of medical AI studies. Assessment of risk of bias is especially important in medical AI studies to detect possible "AI bias". ...[more]

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