Commentary: Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis

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Main Authors: Elettra Merola, Andrea Michielan, Armando Gabbrielli
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1456557/full
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author Elettra Merola
Andrea Michielan
Armando Gabbrielli
Armando Gabbrielli
author_facet Elettra Merola
Andrea Michielan
Armando Gabbrielli
Armando Gabbrielli
author_sort Elettra Merola
collection DOAJ
format Article
id doaj-art-1eee0aa987e84aeaa3561ba7351de348
institution Kabale University
issn 2234-943X
language English
publishDate 2025-03-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Oncology
spelling doaj-art-1eee0aa987e84aeaa3561ba7351de3482025-08-20T03:41:00ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-03-011510.3389/fonc.2025.14565571456557Commentary: Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysisElettra Merola0Andrea Michielan1Armando Gabbrielli2Armando Gabbrielli3Gastroenterology Unit, Giovan Battista (G.B.) Grassi Hospital (Azienda Sanitaria Locale (ASL) Roma 3), Rome, ItalyAzienda Provinciale per i Servizi Sanitari (APSS), Gastroenterology and Digestive Endoscopy Unit, Santa Chiara Hospital, Trento, ItalyAzienda Provinciale per i Servizi Sanitari (APSS), Gastroenterology and Digestive Endoscopy Unit, Santa Chiara Hospital, Trento, ItalyCenter for Medical Sciences (CISMed), University of Trento, Trento, Italyhttps://www.frontiersin.org/articles/10.3389/fonc.2025.1456557/fullartificial intelligenceradiomicspancreatic neuroendocrine tumorsgradingmeta analysis
spellingShingle Elettra Merola
Andrea Michielan
Armando Gabbrielli
Armando Gabbrielli
Commentary: Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis
Frontiers in Oncology
artificial intelligence
radiomics
pancreatic neuroendocrine tumors
grading
meta analysis
title Commentary: Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis
title_full Commentary: Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis
title_fullStr Commentary: Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis
title_full_unstemmed Commentary: Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis
title_short Commentary: Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis
title_sort commentary predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image based artificial intelligence a systematic review and meta analysis
topic artificial intelligence
radiomics
pancreatic neuroendocrine tumors
grading
meta analysis
url https://www.frontiersin.org/articles/10.3389/fonc.2025.1456557/full
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AT andreamichielan commentarypredictinghistologicgradesforpancreaticneuroendocrinetumorsbyradiologicimagebasedartificialintelligenceasystematicreviewandmetaanalysis
AT armandogabbrielli commentarypredictinghistologicgradesforpancreaticneuroendocrinetumorsbyradiologicimagebasedartificialintelligenceasystematicreviewandmetaanalysis
AT armandogabbrielli commentarypredictinghistologicgradesforpancreaticneuroendocrinetumorsbyradiologicimagebasedartificialintelligenceasystematicreviewandmetaanalysis