Response to Felmingham C. et al's “Improving Skin cancer Management with ARTificial intelligence (SMARTI): A pre-post intervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a real-world specialist dermatology setting”-Reference-Cited by-同舟云学术

Response to Felmingham C. et al's “Improving Skin cancer Management with ARTificial intelligence (SMARTI): A pre-post intervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a real-world specialist dermatology setting”

Published:2023-08 Issue:2 Volume:89 Page:e107
ISSN:0190-9622
Container-title:Journal of the American Academy of Dermatology
language:en
Short-container-title:Journal of the American Academy of Dermatology

Author:

Tan Eugene,Lim David,Lin Frank

Publisher

Elsevier BV

Subject

Dermatology

Reference5 articles.

1. Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images;Ge,2017

2. Interobserver variability of teledermoscopy: an international study;Tan;Br J Dermatol,2010

3. Discordance in diagnosis of melanocytic lesions and its impact on clinical management;Ronen;Arch Pathol Lab Med,2021

4. 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;Jahn;Cancers (Basel),2022

5. New international reporting guidelines for clinical trials evaluating effectiveness of artificial intelligence interventions in dermatology: strengthening the SPIRIT of robust trial reporting;Charalambides;Br J Dermatol,2021

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