Current status of artificial intelligence methods for skin cancer survival analysis: a scoping review

Current status of artificial intelligence methods for skin cancer survival analysis: a scoping review

Skin cancer mortality rates continue to rise, and survival analysis is increasingly needed to understand who is at risk and what interventions improve outcomes. However, current statistical methods are limited by inability to synthesize multiple data types, such as patient genetics, clinical history...

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Bibliographic Details
Main Authors: Celine M. Schreidah, Emily R. Gordon, Oluwaseyi Adeuyan, Caroline Chen, Brigit A. Lapolla, Joshua A. Kent, George Bingham Reynolds, Lauren M. Fahmy, Chunhua Weng, Nicholas P. Tatonetti, Herbert S. Chase, Itsik Pe’er, Larisa J. Geskin
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
skin cancer
oncology
machine learning
deep learning
supervised learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1243659/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2024.1243659/full

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