Erratum: Deep learning in fracture detection: a narrative review (Acta Orthopaedica, (2020), 91, 2, 10.1080/17453674.2019.1711323)

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Abstract

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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Kalmet, P. H. S., Sanduleanu, S., Primakov, S., Wu, G., Jochems, A., Refaee, T., … Poeze, M. (2020, May 3). Erratum: Deep learning in fracture detection: a narrative review (Acta Orthopaedica, (2020), 91, 2, 10.1080/17453674.2019.1711323). Acta Orthopaedica. Taylor and Francis Ltd. https://doi.org/10.1080/17453674.2020.1723292

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