review Open AccessTop 1% cited
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
European Radiology · 2021 · Vol. 31(6) · pp. 3797–3804
Kicky G. van Leeuwen✉(Radboud University Nijmegen)Steven Schalekamp(Radboud University Nijmegen)Matthieu Rutten(Radboud University Nijmegen)Bram van Ginneken(Radboud University Nijmegen)Maarten de Rooij(Radboud University Nijmegen)
Abstract
• Artificial intelligence in radiology is still in its infancy even though already 100 CE-marked AI products are commercially available. • Only 36 out of 100 products have peer-reviewed evidence of which most studies demonstrate lower levels of efficacy. • There is a wide variety in deployment strategies, pricing models, and CE marking class of AI products for radiology.
Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingRadiology practices and educationVendorSoftware deploymentNeuroradiologyEvidence-based medicineMedicineInterventional radiologyProduct (mathematics)Evidence-based practiceRadiologyMedical physics
MeSH terms
Artificial IntelligenceHumansRadiographyRadiologySoftware
Citations
408
FWCI
18.24
field-weighted impact
References
10
Percentile
99%
vs. same field & year
Citations per year
References
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
BMJ · 2020 · 1,000 citations
Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors
European Radiology · 2020 · 295 citations
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