Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study)
Abstract The use of artificial intelligence (AI) has the potential to improve the assessment of lesions suspicious of melanoma, but few clinical studies have been conducted. We validated the accuracy of an open-source, non-commercial AI algorithm for melanoma diagnosis and assessed its potential imp...
Main Authors: | Michael A. Marchetti, Emily A. Cowen, Nicholas R. Kurtansky, Jochen Weber, Megan Dauscher, Jennifer DeFazio, Liang Deng, Stephen W. Dusza, Helen Haliasos, Allan C. Halpern, Sharif Hosein, Zaeem H. Nazir, Ashfaq A. Marghoob, Elizabeth A. Quigley, Trina Salvador, Veronica M. Rotemberg |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-07-01
|
Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-023-00872-1 |
Similar Items
-
Features of Skin Cancer in Black Individuals: A Single-Institution Retrospective Cohort Study
by: Rachel Manci, et al.
Published: (2022-05-01) -
Dermoscopy and Skin Cancer
by: Iris Zalaudek, et al.
Published: (2010-01-01) -
Metaphoric and descriptive terminology in dermoscopy: Lessons from the cognitive sciences
by: Jason Giacomel, et al.
Published: (2015-04-01) -
Dermoscopy in the COVID-19 Era: Magnifying the Gap for Clinicians
by: Khawar Hussain, et al.
Published: (2021-03-01) -
Integrating clinical, dermoscopy, and reflectance confocal microscopy findings into correctly identifying a nevoid melanoma
by: Manu Jain, MD, et al.
Published: (2017-11-01)