Artificial intelligence and skin cancer

Artificial intelligence is poised to rapidly reshape many fields, including that of skin cancer screening and diagnosis, both as a disruptive and assistive technology. Together with the collection and availability of large medical data sets, artificial intelligence will become a powerful tool that c...

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Main Authors: Maria L. Wei, Mikio Tada, Alexandra So, Rodrigo Torres
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1331895/full
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author Maria L. Wei
Maria L. Wei
Mikio Tada
Alexandra So
Rodrigo Torres
author_facet Maria L. Wei
Maria L. Wei
Mikio Tada
Alexandra So
Rodrigo Torres
author_sort Maria L. Wei
collection DOAJ
description Artificial intelligence is poised to rapidly reshape many fields, including that of skin cancer screening and diagnosis, both as a disruptive and assistive technology. Together with the collection and availability of large medical data sets, artificial intelligence will become a powerful tool that can be leveraged by physicians in their diagnoses and treatment plans for patients. This comprehensive review focuses on current progress toward AI applications for patients, primary care providers, dermatologists, and dermatopathologists, explores the diverse applications of image and molecular processing for skin cancer, and highlights AI’s potential for patient self-screening and improving diagnostic accuracy for non-dermatologists. We additionally delve into the challenges and barriers to clinical implementation, paths forward for implementation and areas of active research.
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spelling doaj.art-40f8d2ad309a4cacbf2ac3a211e040612024-03-19T04:36:46ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2024-03-011110.3389/fmed.2024.13318951331895Artificial intelligence and skin cancerMaria L. Wei0Maria L. Wei1Mikio Tada2Alexandra So3Rodrigo Torres4Department of Dermatology, University of California, San Francisco, San Francisco, CA, United StatesDermatology Service, San Francisco VA Health Care System, San Francisco, CA, United StatesInstitute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, United StatesSchool of Medicine, University of California, San Francisco, San Francisco, CA, United StatesDermatology Service, San Francisco VA Health Care System, San Francisco, CA, United StatesArtificial intelligence is poised to rapidly reshape many fields, including that of skin cancer screening and diagnosis, both as a disruptive and assistive technology. Together with the collection and availability of large medical data sets, artificial intelligence will become a powerful tool that can be leveraged by physicians in their diagnoses and treatment plans for patients. This comprehensive review focuses on current progress toward AI applications for patients, primary care providers, dermatologists, and dermatopathologists, explores the diverse applications of image and molecular processing for skin cancer, and highlights AI’s potential for patient self-screening and improving diagnostic accuracy for non-dermatologists. We additionally delve into the challenges and barriers to clinical implementation, paths forward for implementation and areas of active research.https://www.frontiersin.org/articles/10.3389/fmed.2024.1331895/fullartificial intelligenceskin cancermelanomadermatologydermatopathology
spellingShingle Maria L. Wei
Maria L. Wei
Mikio Tada
Alexandra So
Rodrigo Torres
Artificial intelligence and skin cancer
Frontiers in Medicine
artificial intelligence
skin cancer
melanoma
dermatology
dermatopathology
title Artificial intelligence and skin cancer
title_full Artificial intelligence and skin cancer
title_fullStr Artificial intelligence and skin cancer
title_full_unstemmed Artificial intelligence and skin cancer
title_short Artificial intelligence and skin cancer
title_sort artificial intelligence and skin cancer
topic artificial intelligence
skin cancer
melanoma
dermatology
dermatopathology
url https://www.frontiersin.org/articles/10.3389/fmed.2024.1331895/full
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