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Editorial
. 2022 Apr 13.
doi: 10.1245/s10434-022-11732-9. Online ahead of print.

Autofluorescence and Artificial Intelligence: The Future of Parathyroid Surgery?

Quan-Yang Duh  1 , Stephanie N Davis  2
Affiliations
Editorial

Autofluorescence and Artificial Intelligence: The Future of Parathyroid Surgery?

Quan-Yang Duh et al. Ann Surg Oncol. .
No abstract available

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References

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    1. Applewhite MK, White MG, Xiong M, Pasternak JD, Abdulrasool L, Ogawa L, Suh I, Gosnell JE, Kaplan EL, Duh QY, Angelos P, Shen WT, Grogan RH. Incidence, risk factors, and clinical outcomes of incidental parathyroidectomy during thyroid surgery. Ann Surg Oncol. 2016;23(13):4310–5. https://doi.org/10.1245/s10434-016-5439-1 . - DOI
    1. Benmiloud F, Godiris-Petit G, Gras R, Gillot JC, Turrin N, Penaranda G, Noullet S, Chéreau N, Gaudart J, Chiche L, Rebaudet S. Association of autofluorescence-based detection of the parathyroid glands during total thyroidectomy with postoperative hypocalcemia risk: results of the PARAFLUO multicenter randomized clinical trial. JAMA Surg. 2020;155(2):106–12. https://doi.org/10.1001/jamasurg.2019.4613 . - DOI
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    1. Avci SN, Isiktas G, Berber E. ASO visual abstract: a visual deep learning model to localize parathyroid—specific autofluorescence on near infra-red imaging. Ann Surg Oncol. 2022. https://doi.org/10.1245/s10434-022-11680-4 .

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