Diagnostic capacity of skin tumor artificial intelligence-assisted decision-making software in real-world clinical settings-Reference-Cited by-同舟云学术

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Diagnostic capacity of skin tumor artificial intelligence-assisted decision-making software in real-world clinical settings

Published:2020-08-17 Issue:17 Volume:133 Page:2020-2026
ISSN:0366-6999
Container-title:Chinese Medical Journal
language:en
Short-container-title:

Author:

Li Cheng-Xu,Fei Wen-Min,Shen Chang-Bing,Wang Zi-Yi,Jing Yan,Meng Ru-Song,Cui Yong

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine,General Medicine

Reference23 articles.

1. Current state and future prospects of artificial intelligence in ophthalmology: a review;Hogarty;Clin Exp Ophthalmol,2019

2. Application of artificial intelligence to radiology;Deyer;Ann Transl Med,2019

3. Artificial intelligence: a novel approach for drug discovery;Diaz;Trends Pharmacol Sci,2019

4. Artificial intelligence (AI) and rheumatology: a potential partnership;Kothari;Rheumatology,2019

5. Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images;Hekler;Eur J Cancer,2019

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1. Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis;Artificial Intelligence in Medicine;2024-09

2. A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis;npj Digital Medicine;2024-05-14

3. Performance of Commercial Dermatoscopic Systems That Incorporate Artificial Intelligence for the Identification of Melanoma in General Practice: A Systematic Review;Cancers;2024-04-08

4. Accuracy of an artificial intelligence as a medical device as part of a UK-based skin cancer teledermatology service;Frontiers in Medicine;2024-03-22

5. Artificial Intelligence Applied to Non-Invasive Imaging Modalities in Identification of Nonmelanoma Skin Cancer: A Systematic Review;Cancers;2024-02-01

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