AI Reporting Guidelines: How to Select the Best One for Your Research
- PMID: 37293341
- PMCID: PMC10245184
- DOI: 10.1148/ryai.230055
AI Reporting Guidelines: How to Select the Best One for Your Research
Conflict of interest statement
Disclosures of conflicts of interest: M.E.K. Board member of the European Society of Medical Imaging Informatics; member of the trainee editorial board of Radiology: Artificial Intelligence. A.A.G. CIHR Postdoctoral Fellowship; Wu Tsai Human Performance Alliance at Stanford; patent planned, issued, or pending for US11080857B2 - Systems and methods for segmenting an image; founder and shareholder in NeuralSeg, Ltd; trainee editorial board of Radiology: Artificial Intelligence. A.S.T. Trainee editorial board of Radiology: Artificial Intelligence. C.E.K. Editor of Radiology: Artificial Intelligence (salary support paid to institution).
References
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- Bossuyt PM , Reitsma JB , Bruns DE , et al. ; STARD Group . STARD 2015: An updated list of essential items for reporting diagnostic accuracy studies . Radiology 2015. ; 277 ( 3 ): 826 – 832 . - PubMed
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- Lekadir K , Osuala R , Gallin C , et al . FUTURE-AI : Guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging . arXiv 2109.09658v3 [preprint]https://arxiv.org/abs/2109.09658. Posted September 29, 2021. Accessed February 2023 .
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