Clinical presentation and staging of melanoma

WH Ward, F Lambreton, N Goel, QY Jian… - Exon …, 2017 - exonpublications.com
Cutaneous melanoma is responsible for the vast majority of skin cancer-related deaths in
the United States. Known risk factors include genetic defects, environmental exposures, and …

Behavioral counseling for skin cancer prevention: evidence report and systematic review for the US Preventive Services Task Force

NB Henrikson, CC Morrison, PR Blasi, M Nguyen… - Jama, 2018 - jamanetwork.com
Importance Exposure to UV radiation, especially in childhood, increases skin cancer risk.
Objective To systematically review the evidence on the benefits and harms of behavioral …

Using deep learning for dermatologist-level detection of suspicious pigmented skin lesions from wide-field images

LR Soenksen, T Kassis, ST Conover… - Science Translational …, 2021 - science.org
A reported 96,480 people were diagnosed with melanoma in the United States in 2019,
leading to 7230 reported deaths. Early-stage identification of suspicious pigmented lesions …

Global, regional and national incidence, mortality and disability‐adjusted life‐years of skin cancers and trend analysis from 1990 to 2019: an analysis of the Global …

W Zhang, W Zeng, A Jiang, Z He, X Shen… - Cancer …, 2021 - Wiley Online Library
Background Information about global and local epidemiology and trends of skin cancers is
limited, which increases the difficulty of cutaneous cancer control. Methods To estimate the …

Screening for skin cancer: US Preventive Services Task Force recommendation statement

K Bibbins-Domingo, DC Grossman, SJ Curry… - Jama, 2016 - jamanetwork.com
Importance Basal and squamous cell carcinoma are the most common types of cancer in the
United States and represent the vast majority of all cases of skin cancer; however, they …

Estimating the magnitude of cancer overdiagnosis in Australia

PP Glasziou, MA Jones, T Pathirana… - Medical Journal of …, 2020 - Wiley Online Library
Objectives To estimate the proportion of cancer diagnoses in Australia that might reasonably
be attributed to overdiagnosis by comparing current and past lifetime risks of cancer. Design …

Assessment of accuracy of an artificial intelligence algorithm to detect melanoma in images of skin lesions

M Phillips, H Marsden, W Jaffe, RN Matin… - JAMA network …, 2019 - jamanetwork.com
Importance A high proportion of suspicious pigmented skin lesions referred for investigation
are benign. Techniques to improve the accuracy of melanoma diagnoses throughout the …

Optimizing risk-based breast cancer screening policies with reinforcement learning

A Yala, PG Mikhael, C Lehman, G Lin, F Strand… - Nature medicine, 2022 - nature.com
Screening programs must balance the benefit of early detection with the cost of
overscreening. Here, we introduce a novel reinforcement learning-based framework for …

Economic burden of skin cancer treatment in the USA: An analysis of the Medical Expenditure Panel Survey Data, 2012–2018

SYZ Kao, DU Ekwueme, DM Holman, SH Rim… - Cancer Causes & …, 2023 - Springer
Purpose We report the prevalence and economic cost of skin cancer treatment compared to
other cancers overall in the USA from 2012 to 2018. Methods Using the Medical Expenditure …

Comparison of large language models in management advice for melanoma: Google's AI BARD, BingAI and ChatGPT

X Mu, B Lim, I Seth, Y Xie, J Cevik… - Skin Health and …, 2024 - academic.oup.com
Abstract Background Large language models (LLMs) are emerging artificial intelligence (AI)
technology refining research and healthcare. Their use in medicine has seen numerous …