PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 8, 2024Frontiers in Medicine71 citationsOpen Access

Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review

BSBrunna Carolinne Rocha SilvaHospital Israelita Albert EinsteinBOBruno de Azevedo OliveiraUniversidade Federal do Rio GrandeRPRenata PrôaHarvard Global Health Institute

Key Points

Key points are not available for this paper at this time.

Abstract

The application of artificial intelligence in dermatology has the potential to revolutionize early detection of skin cancer. However, it is imperative to validate and collaborate with healthcare professionals to ensure its clinical effectiveness and safety.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Silva et al. (2024) studied this question.

synapsesocial.com/papers/69dd6f930644c7b49d40d6f7https://doi.org/10.3389/fmed.2023.1305954
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 32 Cancer Groups, 1990 to 20152016 · 6,333 citations
  2. 2A mobile augmented reality application for supporting real-time skin lesion analysis based on deep learning2021 · 28 citations
  3. 3Image Gallery: Merkel cell carcinoma under the rainbow2017 · 9 citations
  4. 4Skin cancer diagnosis based on deep transfer learning and sparrow search algorithm2022 · 145 citations
  5. 5Skin Cancer: An Overview of Epidemiology and Risk Factors2013 · 434 citations