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

Tytuł:: Exponential growth of systematic reviews assessing artificial intelligence studies in medicine: challenges and opportunities.
Autorzy:: von Groote T; Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany. .
Ghoreishi N; German Federal Institute for Risk Assessment, Berlin, Germany.
Björklund M; Library/ICT, Faculty of Medicine, Lund University, Lund, Sweden.
Porschen C; Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany.
Puljak L; Center for Evidence-Based Medicine and Healthcare, Catholic University of Croatia, Zagreb, Croatia.
Źródło:: Systematic reviews [Syst Rev] 2022 Jun 28; Vol. 11 (1), pp. 132. Date of Electronic Publication: 2022 Jun 28.
Typ publikacji:: Letter; Research Support, Non-U.S. Gov't
Język:: English
Imprint Name(s):: Original Publication: London : BioMed Central
MeSH Terms:: Artificial Intelligence*
Medicine*
Humans ; Research ; Systematic Reviews as Topic
References:: BMJ Qual Saf. 2019 Mar;28(3):231-237. (PMID: 30636200)
Healthc Manage Forum. 2019 Jul;32(4):178-182. (PMID: 31117831)
PLoS One. 2020 Aug 13;15(8):e0235502. (PMID: 32790666)
Nat Med. 2019 Jan;25(1):44-56. (PMID: 30617339)
NPJ Digit Med. 2020 Sep 24;3:126. (PMID: 33043150)
PLoS Biol. 2018 Mar 13;16(3):e2005468. (PMID: 29534060)
Contributed Indexing:: Keywords: Artificial intelligence; Evidence-based medicine; Systematic reviews
Entry Date(s):: Date Created: 20220627 Date Completed: 20220629 Latest Revision: 20220815
Update Code:: 20240105
PubMed Central ID:: PMC9238033
DOI:: 10.1186/s13643-022-01984-7
PMID:: 35761303
: Raport

Pełny tekst

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".
(© 2022. The Author(s).)

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