Automated Dermatological Diagnosis: Hype or Reality?

Cristian Navarrete-Dechent, Stephen W Dusza, Konstantinos Liopyris, Ashfaq A Marghoob, Allan C Halpern, Michael A Marchetti
Author Information
  1. Cristian Navarrete-Dechent: Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Department of Dermatology, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
  2. Stephen W Dusza: Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  3. Konstantinos Liopyris: Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  4. Ashfaq A Marghoob: Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  5. Allan C Halpern: Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  6. Michael A Marchetti: Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: marchetm@mskcc.org.

Abstract

No abstract text available.

References

  1. Nature. 2017 Feb 2;542(7639):115-118 [PMID: 28117445]
  2. J Am Acad Dermatol. 2015 Nov;73(5):769-76 [PMID: 26386631]
  3. J Invest Dermatol. 2018 Jul;138(7):1529-1538 [PMID: 29428356]
  4. JAMA. 2014 Sep 10;312(10):997-8 [PMID: 25203077]
  5. J Am Acad Dermatol. 2018 Feb;78(2):270-277.e1 [PMID: 28969863]
  6. Arch Dermatol. 2005 Nov;141(11):1388-96 [PMID: 16301386]
  7. Nature. 2016 Oct 05;538(7623):20-23 [PMID: 27708329]

Grants

  1. P30 CA008748/NCI NIH HHS

MeSH Term

Algorithms
Deep Learning
Humans
Skin Neoplasms

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