Artificial intelligence in dermatology: challenges and perspectives

K Liopyris, S Gregoriou, J Dias, AJ Stratigos - Dermatology and Therapy, 2022 - Springer
Artificial intelligence (AI) based on machine learning and convolutional neuron networks
(CNN) is rapidly becoming a realistic prospect in dermatology. Non-melanoma skin cancer …

[HTML][HTML] Cancer overdiagnosis: a challenge in the era of screening

BK Dunn, S Woloshin, H Xie, BS Kramer - Journal of the National Cancer …, 2022 - Elsevier
Abstract “Screening” is a search for preclinical, asymptomatic disease, including cancer.
Widespread cancer screening has led to large increases in early-stage cancers and pre …

A narrative review: opportunities and challenges in artificial intelligence skin image analyses using Total body photography

CA Primiero, GG Rezze, LJ Caffery, C Carrera… - Journal of Investigative …, 2024 - Elsevier
Artificial intelligence (AI) algorithms for skin lesion classification have reported accuracy at
par with and even outperformance of expert dermatologists in experimental settings …

Re: Incidence of in situ vs invasive melanoma: testing the “obligate precursor” hypothesis

S Kahler, M Janda, HP Soyer… - JNCI: Journal of the …, 2024 - academic.oup.com
We have read with interest the article by Olsen et al.(1) who described that the diagnosis of
melanoma in situ occurred paradoxically at a greater age than its invasive counterpart …

Consumer views of melanoma early detection using 3D total‐body photography: cross‐sectional survey

TWPT Hona, C Horsham, CV Silva… - International Journal …, 2023 - Wiley Online Library
Abstract Background Three‐dimensional (3D) total‐body photography is a recent advance
in melanoma early detection that can aid in monitoring and identifying new and changing …

Communicating Personal Melanoma Polygenic Risk Information: Participants' Experiences of Genetic Counseling in a Community-Based Study

AK Smit, D Espinoza, GL Fenton, J Kirk… - Journal of Personalized …, 2022 - mdpi.com
Personalized polygenic risk information may be used to guide risk-based melanoma
prevention and early detection at a population scale, but research on communicating this …

Melanoma screening

M Elwood, J Aitken, P Soyer - JAMA dermatology, 2022 - jamanetwork.com
Discussion| Evidence of noninvasive treatment of LMs with topical or oral sirolimus is
accumulating. 3 Sirolimus inhibits the upregulated mammalian target of rapamycin pathway …

[HTML][HTML] Le surdiagnostic des cancers: un défi à l'ère du dépistage

BK Dunn, S Woloshin, H Xie, BS Kramer - cancer-rose.fr
Résumé «Le dépistage» consiste à rechercher des maladies précliniques,
asymptomatiques, y compris le cancer. Le dépistage généralisé de cancers a conduit à une …

[引用][C] In Vivo Melanoma Cell Morphology and Tumor Aggressiveness: The Promise of Reflectance Confocal Microscopy in Reducing Unnecessary Excisions.

KJ Lee, MS Stark - The Journal of Investigative Dermatology, 2022 - europepmc.org
In Vivo Melanoma Cell Morphology and Tumor Aggressiveness: The Promise of
Reflectance Confocal Microscopy in Reducing Unnecessary Excisions. - Abstract - Europe …