Can clinical decision making be enhanced by artificial intelligence?-Reference-Cited by-同舟云学术

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Can clinical decision making be enhanced by artificial intelligence?

Published:2019-02 Issue:2 Volume:180 Page:247-248
ISSN:0007-0963
Container-title:British Journal of Dermatology
language:en
Short-container-title:Br J Dermatol

Author:

Janda M.¹,Soyer H.P.²³

Affiliation:

1. Centre for Health Services Research Faculty of Medicine The University of Queensland Princess Alexandra Hospital Brisbane QLDAustralia

2. Dermatology Research Centre The University of Queensland The University of Queensland Diamantina Institute Brisbane QLD Australia 4102

3. Dermatology Department Princess Alexandra Hospital Brisbane QLD Australia

Publisher

Wiley

Subject

Dermatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bjd.17110

Reference10 articles.

1. Deep‐learning‐based, computer‐aided classifier developed with a small dataset of clinical images surpasses board‐certified dermatologists in skin tumour diagnosis

2. Dermatologist-level classification of skin cancer with deep neural networks

3. Artificial intelligence for melanoma diagnosis: how can we deliver on the promise?

4. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

5. Big Data and Machine Learning in Health Care

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1. Are dermatologists a well-informed audience for artificial intelligence? A knowledge, attitude, and practice survey;Indian Journal of Skin Allergy;2024-08-03

2. How do clinicians view the use of AI tools in the context of good decision-making when detecting melanoma? A qualitative study of dermatologists, GPs, and melanographers. (Preprint);2024-07-11

3. A Narrative Review: Opportunities and Challenges in Artificial Intelligence Skin Image Analyses Using Total Body Photography;Journal of Investigative Dermatology;2024-06

4. Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readers;Australian Health Review;2024-05-02

5. An artificial intelligence based app for skin cancer detection evaluated in a population based setting;npj Digital Medicine;2023-05-20

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