Literature DB >> 28295172

Conflicting results between the analysis of skin lesions using a mobile-phone application and a dermatologist's clinical diagnosis: a pilot study.

R Nabil1, W Bergman1, N A Kukutsch1.   

Abstract

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Year:  2017        PMID： 28295172     DOI： 10.1111/bjd.15443

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN： 0007-0963            Impact factor:   9.302


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  8 in total

1.  Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis.

Authors:  Ashley N D Meyer; Pamela J Thompson; Arushi Khanna; Samir Desai; Benji K Mathews; Elham Yousef; Anita V Kusnoor; Hardeep Singh
Journal:  J Am Med Inform Assoc       Date:  2018-07-01       Impact factor: 4.497

2.  Photoaging Mobile Apps as a Novel Opportunity for Melanoma Prevention: Pilot Study.

Authors:  Titus Josef Brinker; Dirk Schadendorf; Joachim Klode; Ioana Cosgarea; Alexander Rösch; Philipp Jansen; Ingo Stoffels; Benjamin Izar
Journal:  JMIR Mhealth Uhealth       Date:  2017-07-26       Impact factor: 4.773

3.  A Skin Cancer Prevention Facial-Aging Mobile App for Secondary Schools in Brazil: Appearance-Focused Interventional Study.

Authors:  Titus Josef Brinker; Marlene Heckl; Martina Gatzka; Markus V Heppt; Henrique Resende Rodrigues; Sven Schneider; Wiebke Sondermann; Carolina de Almeida E Silva; Michael C Kirchberger; Joachim Klode; Alexander H Enk; Sarah Knispel; Christof von Kalle; Ingo Stoffels; Dirk Schadendorf; Yasuhiro Nakamura; Stefan Esser; Aisllan Assis; Breno Bernardes-Souza
Journal:  JMIR Mhealth Uhealth       Date:  2018-03-09       Impact factor: 4.773

Review 4.  Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review.

Authors:  Saba Akbar; Enrico Coiera; Farah Magrabi
Journal:  J Am Med Inform Assoc       Date:  2020-02-01       Impact factor: 4.497

5.  Poor agreement between the automated risk assessment of a smartphone application for skin cancer detection and the rating by dermatologists.

Authors:  Y Chung; A A J van der Sande; K P de Roos; M W Bekkenk; E R M de Haas; N W J Kelleners-Smeets; N A Kukutsch
Journal:  J Eur Acad Dermatol Venereol       Date:  2019-09-12       Impact factor: 6.166

6.  Over-Detection of Melanoma-Suspect Lesions by a CE-Certified Smartphone App: Performance in Comparison to Dermatologists, 2D and 3D Convolutional Neural Networks in a Prospective Data Set of 1204 Pigmented Skin Lesions Involving Patients' Perception.

Authors:  Anna Sophie Jahn; Alexander Andreas Navarini; Sara Elisa Cerminara; Lisa Kostner; Stephanie Marie Huber; Michael Kunz; Julia-Tatjana Maul; Reinhard Dummer; Seraina Sommer; Anja Dominique Neuner; Mitchell Paul Levesque; Phil Fang Cheng; Lara Valeska Maul
Journal:  Cancers (Basel)       Date:  2022-08-07       Impact factor: 6.575

7.  Evaluation of the Diagnostic Accuracy of an Online Artificial Intelligence Application for Skin Disease Diagnosis.

Authors:  Oscar Zaar; Alexander Larson; Sam Polesie; Karim Saleh; Mikael Tarstedt; Antonio Olives; Andrea Suárez; Martin Gillstedt; Noora Neittaanmäki
Journal:  Acta Derm Venereol       Date:  2020-09-16       Impact factor: 3.875

8.  Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies.

Authors:  Karoline Freeman; Jacqueline Dinnes; Naomi Chuchu; Yemisi Takwoingi; Sue E Bayliss; Rubeta N Matin; Abhilash Jain; Fiona M Walter; Hywel C Williams; Jonathan J Deeks
Journal:  BMJ       Date:  2020-02-10
  8 in total

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