Exponential growth of systematic reviews assessing artificial intelligence studies in medicine : challenges and opportunities
von Groote, Thilo ; Ghoreishi, Narges ; Björklund, Maria LU
; Porschen, Christian
and Puljak, Livia
(2022)
In Systematic Reviews
11(1).
- 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”.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2ba628be-1b33-401c-90c9-a65f2859de5b
- author
- von Groote, Thilo
; Ghoreishi, Narges
; Björklund, Maria
LU
; Porschen, Christian
and Puljak, Livia
- organization
- publishing date
- 2022-12
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Artificial intelligence, Evidence-based medicine, Systematic reviews
- in
- Systematic Reviews
- volume
- 11
- issue
- 1
- article number
- 132
- publisher
- BioMed Central (BMC)
- external identifiers
-
- scopus:85132956770
- pmid:35761303
- ISSN
- 2046-4053
- DOI
- 10.1186/s13643-022-01984-7
- language
- English
- LU publication?
- yes
- id
- 2ba628be-1b33-401c-90c9-a65f2859de5b
- date added to LUP
- 2022-09-07 14:29:31
- date last changed
- 2024-06-13 19:08:56
@article{2ba628be-1b33-401c-90c9-a65f2859de5b,
abstract = {{<p>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”.</p>}},
author = {{von Groote, Thilo and Ghoreishi, Narges and Björklund, Maria and Porschen, Christian and Puljak, Livia}},
issn = {{2046-4053}},
keywords = {{Artificial intelligence; Evidence-based medicine; Systematic reviews}},
language = {{eng}},
number = {{1}},
publisher = {{BioMed Central (BMC)}},
series = {{Systematic Reviews}},
title = {{Exponential growth of systematic reviews assessing artificial intelligence studies in medicine : challenges and opportunities}},
url = {{http://dx.doi.org/10.1186/s13643-022-01984-7}},
doi = {{10.1186/s13643-022-01984-7}},
volume = {{11}},
year = {{2022}},
}