Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
- PMID: 32908275
- PMCID: PMC7538196
- DOI: 10.1038/s41591-020-1041-y
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
Conflict of interest statement
Competing interests
I.S.K. is on the scientific advisory boards of Pulse Data and Medaware, both companies involved in predictive analytics. S.S. is a founder of, and holds equity in, Bayesian Health. The results of the study discussed in this publication could affect the value of Bayesian Health. This arrangement has been reviewed and approved by Johns Hopkins University in accordance with its conflict-of-interest policies. S.S. is a member of the scientific advisory board for PatientPing. B.K.B.-J. is a cofounder of Salutary, Inc. B.N. is employed by Anthem. A.J.B. is a cofounder of and consultant to Personalis and NuMedii; consultant to Samsung, Mango Tree Corporation and, in the recent past, 10x Genomics, Helix, Pathway Genomics and Verinata (Illumina); has served on paid advisory panels or boards for Geisinger Health, Regenstrief Institute, Gerson Lehman Group, AlphaSights, Covance, Novartis, Genentech, Merck and Roche; is a shareholder in Personalis and NuMedii; is a minor shareholder in Apple, Facebook, Google, Microsoft, 10x Genomics, Amazon, Biogen, Illumina, Snap, Nuna Health, Royalty Pharma, Sanofi, AstraZeneca, Assay Depot, Vet24seven, Regeneron, Moderna and Sutro, many of which use AI and predictive modeling, and several other non-health-related companies and mutual funds; and has received honoraria and travel reimbursement for invited talks from Genentech, Takeda, Varian, Roche, Pfizer, Merck, Lilly, Mars, Siemens, Optum, Abbott, Celgene, AstraZeneca, AbbVie, Johnson & Johnson, Westat and many academic institutions, state or national agencies, medical or disease specific foundations and associations, and health systems. A.J.B. receives royalty payments through Stanford University for several patents and other disclosures licensed to NuMedii and Personalis. A.J.B. has research funded by the NIH, Northrup Grumman (as the prime on an NIH contract), Genentech, Johnson & Johnson, FDA, US Department of Defense, Robert Wood Johnson Foundation, Leon Lowenstein Foundation, Intervalien Foundation, Priscilla Chan and Mark Zuckerberg, Barbara and Gerson Bakar Foundation and, in the recent past, the March of Dimes, Juvenile Diabetes Research Foundation, California Governor’s Office of Planning and Research, California Institute for Regenerative Medicine, L’Oreal and Progenity.
Figures
Similar articles
-
Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application.Curr Diab Rep. 2019 Jul 31;19(9):72. doi: 10.1007/s11892-019-1189-3. Curr Diab Rep. 2019. PMID: 31367962
-
Artificial Intelligence in the assessment of diabetic retinopathy from fundus photographs.Semin Ophthalmol. 2020 Nov 16;35(7-8):325-332. doi: 10.1080/08820538.2020.1855358. Epub 2021 Feb 4. Semin Ophthalmol. 2020. PMID: 33539253 Review.
-
Artificial Intelligence With Deep Learning Technology Looks Into Diabetic Retinopathy Screening.JAMA. 2016 Dec 13;316(22):2366-2367. doi: 10.1001/jama.2016.17563. JAMA. 2016. PMID: 27898977 No abstract available.
-
Deep Learning in Medicine. Are We Ready?Ann Acad Med Singap. 2019 Jan;48(1):1-4. Ann Acad Med Singap. 2019. PMID: 30788488 No abstract available.
-
Validation of Deep Convolutional Neural Network-based algorithm for detection of diabetic retinopathy - Artificial intelligence versus clinician for screening.Indian J Ophthalmol. 2020 Feb;68(2):398-405. doi: 10.4103/ijo.IJO_966_19. Indian J Ophthalmol. 2020. PMID: 31957737 Free PMC article.
Cited by
-
Adversarial attacks and adversarial robustness in computational pathology.Nat Commun. 2022 Sep 29;13(1):5711. doi: 10.1038/s41467-022-33266-0. Nat Commun. 2022. PMID: 36175413 Free PMC article.
-
Predictability and stability testing to assess clinical decision instrument performance for children after blunt torso trauma.PLOS Digit Health. 2022 Aug 8;1(8):e0000076. doi: 10.1371/journal.pdig.0000076. eCollection 2022 Aug. PLOS Digit Health. 2022. PMID: 36812570 Free PMC article.
-
Challenges in translational machine learning.Hum Genet. 2022 Sep;141(9):1451-1466. doi: 10.1007/s00439-022-02439-8. Epub 2022 Mar 4. Hum Genet. 2022. PMID: 35246744 Free PMC article. Review.
-
Domain-guided data augmentation for deep learning on medical imaging.PLoS One. 2023 Mar 23;18(3):e0282532. doi: 10.1371/journal.pone.0282532. eCollection 2023. PLoS One. 2023. PMID: 36952442 Free PMC article.
-
Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives.Healthcare (Basel). 2023 Oct 18;11(20):2760. doi: 10.3390/healthcare11202760. Healthcare (Basel). 2023. PMID: 37893833 Free PMC article. Review.
References
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical