Interest in artificial intelligence for the diagnosis of non-melanoma skin cancer: a survey among French general practitioners
R Samaran, JM L'Orphelin, B Dreno, C Rat… - European Journal of …, 2021 - Springer
Abstract Background General practitioners (GPs) are playing a key role in skin cancer
screening. Non-melanoma skin cancer is frequent and difficult to diagnose. Objectives We …
screening. Non-melanoma skin cancer is frequent and difficult to diagnose. Objectives We …
Computer-assisted skin cancer diagnosis: Is it time for artificial intelligence in clinical practice?
TJ Brinker, G Schlager, LE French, T Jutzi, H Kittler - Der Hautarzt, 2020 - Springer
Background Artificial intelligence (AI) is increasingly being used in medical practice.
Especially in the image-based diagnosis of skin cancer, AI shows great potential. However …
Especially in the image-based diagnosis of skin cancer, AI shows great potential. However …
Legal and ethical considerations of artificial intelligence in skin cancer diagnosis
D Jobson, V Mar, I Freckelton - Australasian Journal of …, 2022 - Wiley Online Library
Artificial intelligence (AI) technology is becoming increasingly accurate and prevalent for the
diagnosis of skin cancers. Commercially available AI diagnostic software is entering markets …
diagnosis of skin cancers. Commercially available AI diagnostic software is entering markets …
Attitudes toward artificial intelligence within dermatopathology: an international online survey
S Polesie, PH McKee, JM Gardner, M Gillstedt… - Frontiers in …, 2020 - frontiersin.org
Background: Artificial intelligence (AI) has recently surfaced as a research topic in
dermatology and dermatopathology. In a recent survey, dermatologists were overall positive …
dermatology and dermatopathology. In a recent survey, dermatologists were overall positive …
Perceptions of the use of artificial intelligence in the diagnosis of skin cancer: an outpatient survey
K Lim, G Neal‐Smith, C Mitchell, J Xerri… - Clinical and …, 2022 - academic.oup.com
Background Convolutional neural networks (artificial intelligence, AI) are rapidly appearing
within the field of dermatology, with diagnostic accuracy matching that of dermatologists. As …
within the field of dermatology, with diagnostic accuracy matching that of dermatologists. As …
Clinical application of artificial intelligence for non-melanoma skin cancer
Opinion statement The development and implementation of artificial intelligence is
beginning to impact the care of dermatology patients. Although the clinical application of AI …
beginning to impact the care of dermatology patients. Although the clinical application of AI …
Comparison of humans versus mobile phone-powered artificial intelligence for the diagnosis and management of pigmented skin cancer in secondary care: a …
Background Diagnosis of skin cancer requires medical expertise, which is scarce. Mobile
phone-powered artificial intelligence (AI) could aid diagnosis, but it is unclear how this …
phone-powered artificial intelligence (AI) could aid diagnosis, but it is unclear how this …
The importance of incorporating human factors in the design and implementation of artificial intelligence for skin cancer diagnosis in the real world
Artificial intelligence (AI) algorithms have been shown to diagnose skin lesions with
impressive accuracy in experimental settings. The majority of the literature to date has …
impressive accuracy in experimental settings. The majority of the literature to date has …
Artificial intelligence in skin cancer diagnostics: the patients' perspective
TB Jutzi, EI Krieghoff-Henning, T Holland-Letz… - Frontiers in …, 2020 - frontiersin.org
Background: Artificial intelligence (AI) has shown promise in numerous experimental
studies, particularly in skin cancer diagnostics. Translation of these findings into the clinic is …
studies, particularly in skin cancer diagnostics. Translation of these findings into the clinic is …
What is AI? Applications of artificial intelligence to dermatology
X Du‐Harpur, FM Watt, NM Luscombe… - British Journal of …, 2020 - academic.oup.com
In the past, the skills required to make an accurate dermatological diagnosis have required
exposure to thousands of patients over many years. However, in recent years, artificial …
exposure to thousands of patients over many years. However, in recent years, artificial …
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