Literature DB >> 34811727

Accuracy of commercially available smartphone applications for the detection of melanoma.

M D Sun1,2, J Kentley1,3, P Mehta1, S Dusza1, A C Halpern1, V Rotemberg1.   

Abstract

Entities:  

Mesh：

Year:  2022        PMID： 34811727      PMCID： PMC9328117          DOI： 10.1111/bjd.20903

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN： 0007-0963            Impact factor:   11.113


× No keyword cloud information.
  8 in total

1.  New international reporting guidelines for clinical trials evaluating effectiveness of artificial intelligence interventions in dermatology: strengthening the SPIRIT of robust trial reporting.

Authors:  M Charalambides; C Flohr; P Bahadoran; R N Matin
Journal:  Br J Dermatol       Date:  2021-03       Impact factor: 9.302

Review 2.  Artificial Intelligence in Dermatology: A Primer.

Authors:  Albert T Young; Mulin Xiong; Jacob Pfau; Michael J Keiser; Maria L Wei
Journal:  J Invest Dermatol       Date:  2020-03-27       Impact factor: 8.551

3.  Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms.

Authors:  A Udrea; G D Mitra; D Costea; E C Noels; M Wakkee; D M Siegel; T M de Carvalho; T E C Nijsten
Journal:  J Eur Acad Dermatol Venereol       Date:  2019-10-08       Impact factor: 6.166

4.  Growth of mobile applications in dermatology - 2017 update.

Authors:  Hania K Flaten; Chelsea St Claire; Emma Schlager; Cory A Dunnick; Robert P Dellavalle
Journal:  Dermatol Online J       Date:  2018-02-15

5.  AI-based smartphone apps for risk assessment of skin cancer need more evaluation and better regulation.

Authors:  Rubeta N Matin; Jacqueline Dinnes
Journal:  Br J Cancer       Date:  2021-03-19       Impact factor: 7.640

6.  Smartphone applications for triaging adults with skin lesions that are suspicious for melanoma.

Authors:  Naomi Chuchu; Yemisi Takwoingi; Jacqueline Dinnes; Rubeta N Matin; Oliver Bassett; Jacqueline F Moreau; Susan E Bayliss; Clare Davenport; Kathie Godfrey; Susan O'Connell; Abhilash Jain; Fiona M Walter; Jonathan J Deeks; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

7.  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.  Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.

Authors:  Titus Josef Brinker; Achim Hekler; Jochen Sven Utikal; Niels Grabe; Dirk Schadendorf; Joachim Klode; Carola Berking; Theresa Steeb; Alexander H Enk; Christof von Kalle
Journal:  J Med Internet Res       Date:  2018-10-17       Impact factor: 5.428
  8 in total
  2 in total

1.  Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.

Authors:  Marc Combalia; Noel Codella; Veronica Rotemberg; Cristina Carrera; Stephen Dusza; David Gutman; Brian Helba; Harald Kittler; Nicholas R Kurtansky; Konstantinos Liopyris; Michael A Marchetti; Sebastian Podlipnik; Susana Puig; Christoph Rinner; Philipp Tschandl; Jochen Weber; Allan Halpern; Josep Malvehy
Journal:  Lancet Digit Health       Date:  2022-05

2.  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
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.