Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis
Indiana University Health · Purdue University West Lafayette · +11 more institutions
Abstract
The field of Artificial Intelligence (AI) holds transformative potential in medicine. However, the lack of universal reporting guidelines poses challenges in ensuring the validity and reproducibility of published research studies in this field.
Based on a systematic review of academic publications and reporting standards demanded by both international consortia and regulatory stakeholders as well as leading journals in the fields of medicine and medical informatics, 26 reporting guidelines published between 2009 and 2023 were included in this analysis. Guidelines were stratified by breadth (general or specific to medical fields), underlying consensus quality, and target research phase (preclinical, translational, clinical) and subsequently analyzed regarding the overlap and variations in guideline items.
Citation impact
- FWCI
- 13.26
- Percentile
- 100%
- References
- 58
Authors
5- FRFiona R. KolbingerCorresponding
Indiana University Health, Purdue University West Lafayette, Fresenius (Germany), University Hospital Carl Gustav Carus, Indiana University Indianapolis, Indiana University School of Medicine, Indiana University – Purdue University Indianapolis, Technische Universität Dresden
- GPGregory Patrick Veldhuizen
Fresenius (Germany), Technische Universität Dresden
- JZJiefu Zhu
Fresenius (Germany), Technische Universität Dresden
- DTDaniel Truhn
Universitätsklinikum Aachen
- JNJakob Nikolas Kather
Heidelberg University, University Hospital Heidelberg, Fresenius (Germany), National Center for Tumor Diseases, Technische Universität Dresden, RWTH Aachen University
Topics & keywords
- Guideline
- Quality (philosophy)
- Systematic review
- MEDLINE
- Management science
- Medicine
- Political science
- Pathology
Funding
- DKDeutsches KrebsforschungszentrumAward: CoBot 2.0
- JHJoachim Herz Stiftung
- NINational Institute for Health and Care ResearchAward: NIHR213331
- DODepartment of Health and Social Care
- ECEuropean CommissionAwards: 101096312, 101057091
- DADeutscher Akademischer AustauschdienstAward: 57616814
- DFDeutsche ForschungsgemeinschaftAwards: 390696704, EXC 2050/1, ID 390696704, 2050/1
- BFBundesministerium für Bildung und ForschungAwards: ID 390696704, EXC 2050/1, 01KD2215A, 01EO2101, 01VSF21048, 390696704, 57616814, 01KD2104C, 031L0312A
- TUTechnische Universität DresdenAward: 390696704
- BFBundesministerium für GesundheitAwards: ZMVI1-2520DAT111, 2520DAT111
- DKDeutsche KrebshilfeAwards: 70113864, 2520DAT111
- GBGemeinsame BundesausschussAward: 01VSF21048
- NINational Institutes of HealthAward: UM1TR004402
- LBLeeds Biomedical Research CentreAward: NIHR213331
- NCNational Center for Advancing Translational SciencesAward: UM1TR004402