Literature DB >> 23864094

Diagnostic inaccuracy of smartphone applications for melanoma detection: representative lesion sets and the role for adjunctive technologies.

William V Stoecker, Ryan K Rader, Allan Halpern.   

Abstract

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Mesh：

Year:  2013        PMID： 23864094     DOI： 10.1001/jamadermatol.2013.4334

Source DB:  PubMed          Journal:  JAMA Dermatol        ISSN： 2168-6068            Impact factor:   10.282


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  4 in total

1.  Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy.

Authors:  Michael Phillips; Jack Greenhalgh; Helen Marsden; Ioulios Palamaras
Journal:  Dermatol Pract Concept       Date:  2019-12-31

2.  Pocket pathologist: A mobile application for rapid diagnostic surgical pathology consultation.

Authors:  Douglas J Hartman; Anil V Parwani; Bill Cable; Ioan C Cucoranu; Jeff S McHugh; Brian J Kolowitz; Samuel A Yousem; Vijaykumar Palat; Anna Von Reden; Stephen Sloka; Gonzalo Romero Lauro; Ishtiaque Ahmed; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2014-03-28

3.  Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions.

Authors:  Michael Phillips; Helen Marsden; Wayne Jaffe; Rubeta N Matin; Gorav N Wali; Jack Greenhalgh; Emily McGrath; Rob James; Evmorfia Ladoyanni; Anthony Bewley; Giuseppe Argenziano; Ioulios Palamaras
Journal:  JAMA Netw Open       Date:  2019-10-02

Review 4.  Improving outcomes in patients with melanoma: strategies to ensure an early diagnosis.

Authors:  Rachel K Voss; Tessa N Woods; Kate D Cromwell; Kelly C Nelson; Janice N Cormier
Journal:  Patient Relat Outcome Meas       Date:  2015-11-06
  4 in total

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