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

Schreidah, C. M., Gordon, E. R., Adeuyan, O., Chen, C., Lapolla, B. A., Kent, J. A., Reynolds, G. B., Fahmy, L. M., Weng, C., Tatonetti, N. P., Chase, H. S., Pe’er, I., & Geskin, L. J. (2024). Current status of artificial intelligence methods for skin cancer survival analysis: a scoping review. Frontiers in Medicine, 11. https://doi.org/10.3389/fmed.2024.1243659
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
Affiliated Authors:
Celine M Schreidah
Emily R Gordon
Oluwaseyi Adeuyan
Caroline Chen
Brigit A Lapolla
George Bingham Reynolds
Lauren M Fahmy
Chunhua Weng
Nicholas P Tatonetti
Herbert S Chase
Itsik Pe'er
Larisa J Geskin
Columbia Affiliation:
Author Keywords:
artificial intelligence
deep learning
machine learning
natural language processing
oncology
skin cancer
supervised learning
unsupervised learning
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Publication Type:
Article
Unique ID:
10.3389/fmed.2024.1243659
PMID:
38711781
DOI:
10.3389/fmed.2024.1243659
Journal:
Frontiers in Medicine
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: