The role of public challenges and data sets towards algorithm development, trust, and use in clinical practice Review


Authors: Rotemberg, V.; Halpern, A.; Dusza, S.; Codella, N. C. F.
Review Title: The role of public challenges and data sets towards algorithm development, trust, and use in clinical practice
Abstract: In the past decade, machine learning and artificial intelligence have made significant advancements in pattern analysis, including speech and natural language processing, image recognition, object detection, facial recognition, and action categorization. Indeed, in many of these applications, accuracy has reached or exceeded human levels of performance. Subsequently, a multitude of studies have begun to examine the application of these technologies to health care, and in particular, medical image analysis. Perhaps the most difficult subdomain involves skin imaging because of the lack of standards around imaging hardware, technique, color, and lighting conditions. In addition, unlike radiological images, skin image appearance can be significantly affected by skin tone as well as the broad range of diseases. Furthermore, automated algorithm development relies on large high-quality annotated image data sets that incorporate the breadth of this circumstantial and diagnostic variety.These issues, in combination with unique complexities regarding integrating artificial intelligence systems into a clinical workflow, have led to difficulty in using these systems to improve sensitivity and specificity of skin diagnostics in health care networks around the world. In this article, we summarize recent advancements in machine learning, with a focused perspective on the role of public challenges and data sets on the progression of these technologies in skin imaging. In addition, we highlight the remaining hurdles toward effective implementation of technologies to the clinical workflow and discuss how public challenges and data sets can catalyze the development of solutions. © 2019 Frontline Medical Communications
Journal Title: Seminars in Cutaneous Medicine and Surgery
Volume: 38
Issue: 1
ISSN: 1085-5629
Publisher: W.B. Saunders Co-Elsevier Inc.  
Date Published: 2019-03-01
Start Page: E38
End Page: E42
Language: English
DOI: 10.12788/j.sder.2019.013
PUBMED: 31051022
PROVIDER: scopus
DOI/URL:
Notes: Article -- Export Date: 3 June 2019 -- Source: Scopus
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MSK Authors
  1. Allan C Halpern
    396 Halpern
  2. Stephen Dusza
    288 Dusza
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