Artificial Intelligence and Radiomics: Clinical Applications for Patients with Advanced Melanoma Treated with Immunotherapy.
artificial intelligence
immune checkpoint inhibitor
immunoPET
immunotherapy
medical imaging
melanoma
oncology
radiomics
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
27 Sep 2023
27 Sep 2023
Historique:
received:
23
07
2023
revised:
01
09
2023
accepted:
06
09
2023
medline:
14
10
2023
pubmed:
14
10
2023
entrez:
14
10
2023
Statut:
epublish
Résumé
Immunotherapy has greatly improved the outcomes of patients with metastatic melanoma. However, it has also led to new patterns of response and progression, creating an unmet need for better biomarkers to identify patients likely to achieve a lasting clinical benefit or experience immune-related adverse events. In this study, we performed a focused literature survey covering the application of artificial intelligence (AI; in the form of radiomics, machine learning, and deep learning) to patients diagnosed with melanoma and treated with immunotherapy, reviewing 12 studies relevant to the topic published up to early 2022. The most commonly investigated imaging modality was CT imaging in isolation (
Identifiants
pubmed: 37835808
pii: diagnostics13193065
doi: 10.3390/diagnostics13193065
pmc: PMC10573034
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
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