AI-powered innovations in pancreatitis imaging: a comprehensive literature synthesis

被引：0

作者：

Maletz, Sebastian ^{[1
]}

Balagurunathan, Yoga ^{[2
]}

Murphy, Kade ^{[1
]}

Folio, Les ^{[1
,2
]}

Chima, Ranjit ^{[1
,2
]}

Zaheer, Atif ^{[3
]}

Vadvala, Harshna ^{[1
,2
]}

机构：

[1] Univ S Florida, Morsani Coll Med, Tampa, FL 33620 USA

[2] H Lee Moffitt Canc Ctr & Res Inst, Tampa, FL 33607 USA

[3] Johns Hopkins Univ Hosp, Baltimore, MD USA

来源：

ABDOMINAL RADIOLOGY | 2025年 / 50卷 / 01期

关键词：

Pancreatitis imaging; Artificial intelligence (AI); Machine learning (ML); Deep learning (DL); COMPUTED-TOMOGRAPHY; RADIOMICS FEATURES; INFORMATION; CT; RECURRENCE; SEVERITY; IMAGES; PRIMER;

D O I：

10.1007/s00261-024-04512-4

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Early identification of pancreatitis remains a significant clinical diagnostic challenge that impacts patient outcomes. The evolution of quantitative imaging followed by deep learning models has shown great promise in the non-invasive diagnosis of pancreatitis and its complications. We provide an overview of advancements in diagnostic imaging and quantitative imaging methods along with the evolution of artificial intelligence (AI). In this article, we review the current and future states of methodology and limitations of AI in improving clinical support in the context of early detection and management of pancreatitis.

引用

页码：438 / 452

页数：15

共 50 条

[41] The AI-Powered Evolution of Big Data
Kumar, Yulia
Marchena, Jose
Awlla, Ardalan H.
Li, J. Jenny
Abdalla, Hemn Barzan
APPLIED SCIENCES-BASEL, 2024, 14 (22):
[42] The wild west of AI-powered devices
Brennan, Marshall R.
DEVICE, 2024, 2 (04):
[43] An MDAC-Less Pipelined ADC for AI-Powered Medical Imaging Applications
Dhiman, Saurabh
Shrimali, Hitesh
IEEE SENSORS JOURNAL, 2024, 24 (23) : 39182 - 39194
[44] Clinical scoring and validation of a comprehensive AI-powered tumour content and lung macrodissection algorithm
Edelman, W.
Wyatt, R.
Mulkern, D.
Moore, H.
Caie, P.
VIRCHOWS ARCHIV, 2024, 485 : S114 - S114
[45] AI-Powered Fish Monitoring Comprehensive, Real-Time Insights for Hydropower Operations
Smedbol, Stephanie
Legge, Aaron
SEA TECHNOLOGY, 2024, 65 (05)
[46] Towards AI-Powered Multiple Cloud Management
Di Martino, Beniamino
Esposito, Antonio
Damiani, Ernesto
IEEE INTERNET COMPUTING, 2019, 23 (01) : 64 - 71
[47] NeurDB: an AI-powered autonomous data system
Ooi, Beng Chin
Cai, Shaofeng
Chen, Gang
Shen, Yanyan
Tan, Kian-Lee
Wu, Yuncheng
Xiao, Xiaokui
Xing, Naili
Yue, Cong
Zeng, Lingze
Zhang, Meihui
Zhao, Zhanhao
SCIENCE CHINA-INFORMATION SCIENCES, 2024, 67 (10)
[48] An AI-powered approach to the semiotic reconstruction of narratives
de Lima, Edirlei Soares
Neggers, Margot M. E.
Feijo, Bruno
Casanova, Marco A.
Furtado, Antonio L.
ENTERTAINMENT COMPUTING, 2025, 52
[49] An AI-Powered Network Threat Detection System
Wang, Bo-Xiang
Chen, Jiann-Liang
Yu, Chiao-Lin
IEEE ACCESS, 2022, 10 : 54029 - 54037
[50] The artist in the machine: the world of AI-powered creativity
Maceviciute, Elena
INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL, 2020, 25 (02):

← 1 2 3 4 5 →