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Acta Orthopaedica logoLink to Acta Orthopaedica
. 2020 Feb 5;91(3):362. doi: 10.1080/17453674.2020.1723292

Deep learning in fracture detection: a narrative review

Pishtiwan H S Kalmet a,, Sebastian Sanduleanu b,*, Sergey Primakov b, Guangyao Wu b, Arthur Jochems b, Turkey Refaee b, Abdalla Ibrahim b, c, d, e,b, c, d, e,b, c, d, e,b, c, d, e, Luca v Hulst a, Philippe Lambin b,c, Martijn Poeze a,f
PMCID: PMC8023938  PMID: 32019386

Correction of conflict of interest statement

Original statement: The authors declare that they have no conflict of interest.

Corrected version:

Conflict of interest

The authors, except dr. Philippe Lambin, declare that they have no conflict of interest.Dr. Lambin reports, within and outside the submitted work, grants/sponsored research agreements from Varian medical, Oncoradiomics, ptTheragnostic, Health Innovation Ventures and DualTpharma. He received an advisor/presenter fee and/or reimbursement of travel costs/external grant writing fee and/or in kind manpower contribution from Oncoradiomics, BHV, Merck and Convert pharmaceuticals. Dr Lambin has shares in the company Oncoradiomics SA and Convert pharmaceuticals SA and is co-inventor of two issued patents with royalties on radiomics (PCT/NL2014/050248, PCT/NL2014/050728) licensed to Oncoradiomics and one issue patent on mtDNA (PCT/EP2014/059089) licensed to ptTheragnostic/DNAmito, three non-patentable invention (softwares) licensed to ptTheragnostic/DNAmito, Oncoradi­omics and Health Innovation Ventures.


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