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

Thilo von Groote; Narges Ghoreishi; Maria Björklund; Christian Porschen; Livia Puljak

doi:10.1186/s13643-022-01984-7

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

Thilo von Groote, Narges Ghoreishi, Maria Björklund, Christian Porschen, Livia Puljak

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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”.

Original language	English
Article number	132
Journal	Systematic Reviews
Volume	11
Issue number	1
DOIs	https://doi.org/10.1186/s13643-022-01984-7
Publication status	Published - 2022 Dec

Subject classification (UKÄ)

Other Medical Sciences not elsewhere specified

Free keywords

Artificial intelligence
Evidence-based medicine
Systematic reviews

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10.1186/s13643-022-01984-7Licence: CC BY

Cite this

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title = "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”.",

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AU - Ghoreishi, Narges

AU - Björklund, Maria

AU - Porschen, Christian

AU - Puljak, Livia

PY - 2022/12

Y1 - 2022/12

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AB - 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”.

KW - Artificial intelligence

KW - Evidence-based medicine

KW - Systematic reviews

U2 - 10.1186/s13643-022-01984-7

DO - 10.1186/s13643-022-01984-7

M3 - Letter

C2 - 35761303

AN - SCOPUS:85132956770

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JO - Systematic Reviews

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ER -

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

Abstract

Subject classification (UKÄ)

Free keywords

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