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Nuovi algoritmi e tecnologie per la diagnosi dell’acromegalia

  • Pratica Clinica in Endocrinologia
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Bibliografia

  1. Prencipe N, Floriani I, Guaraldi F et al. (2016) ACROSCORE: a new and simple tool for the diagnosis of acromegaly, a rare and underdiagnosed disease. Clin Endocrinol (Oxf) 84(3):380–385

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  2. Miller RE, Learned-Miller EG, Trainer P et al. (2011) Early diagnosis of acromegaly: computers vs clinicians. Clin Endocrinol (Oxf) 75(2):226–231

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  3. Schneider HJ, Kosilek RP, Günther M et al. (2011) A novel approach to the detection of acromegaly: accuracy of diagnosis by automatic face classification. J Clin Endocrinol Metab 96(7):2074–2080

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Authors and Affiliations

  1. Endocrinologia, Diabetologia e Metabolismo, AOU Città della Salute e della Scienza di Torino, Università di Torino, Torino, Italia

    Nunzia Prencipe & Silvia Grottoli

Authors
  1. Nunzia Prencipe
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  2. Silvia Grottoli
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Correspondence to Silvia Grottoli.

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Le autrici Nunzia Prencipe e Silvia Grottoli dichiarano di non avere conflitti di interesse.

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Lo studio presentato in questo articolo non ha richiesto sperimentazione umana.

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Prencipe, N., Grottoli, S. Nuovi algoritmi e tecnologie per la diagnosi dell’acromegalia. L'Endocrinologo 18, 293–294 (2017). https://doi.org/10.1007/s40619-017-0357-4

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  • DOI: https://doi.org/10.1007/s40619-017-0357-4

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