[HTML][HTML] Artificial intelligence in pancreatic cancer

B Huang, H Huang, S Zhang, D Zhang, Q Shi, J Liu… - Theranostics, 2022 - ncbi.nlm.nih.gov
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …

Using quantitative imaging for personalized medicine in pancreatic cancer: a review of radiomics and deep learning applications

K Preuss, N Thach, X Liang, M Baine, J Chen, C Zhang… - Cancers, 2022 - mdpi.com
Simple Summary With a five-year survival rate of only 3% for the majority of patients,
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …

Deep learning–based detection of solid and cystic pancreatic neoplasms at contrast-enhanced CT

HJ Park, K Shin, MW You, SG Kyung, SY Kim, SH Park… - Radiology, 2023 - pubs.rsna.org
Background Deep learning (DL) may facilitate the diagnosis of various pancreatic lesions at
imaging. Purpose To develop and validate a DL-based approach for automatic identification …

A primer on artificial intelligence in pancreatic imaging

TM Ahmed, S Kawamoto, RH Hruban… - Diagnostic and …, 2023 - Elsevier
Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data
contained in medical images. Deep learning and radiomics are the two main AI methods …

Early detection and localization of pancreatic cancer by label-free tumor synthesis

B Li, YC Chou, S Sun, H Qiao, A Yuille… - arXiv preprint arXiv …, 2023 - arxiv.org
Early detection and localization of pancreatic cancer can increase the 5-year survival rate for
patients from 8.5% to 20%. Artificial intelligence (AI) can potentially assist radiologists in …

Deep learning-based differentiation between mucinous cystic neoplasm and serous cystic neoplasm in the pancreas using endoscopic ultrasonography

LS Nguon, K Seo, JH Lim, TJ Song, SH Cho, JS Park… - Diagnostics, 2021 - mdpi.com
Mucinous cystic neoplasms (MCN) and serous cystic neoplasms (SCN) account for a large
portion of solitary pancreatic cystic neoplasms (PCN). In this study we implemented a …

From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer

S Tripathi, A Tabari, A Mansur, H Dabbara, CP Bridge… - Diagnostics, 2024 - mdpi.com
Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis.
Late diagnosis is common due to a lack of early symptoms, specific markers, and the …

Pulmonary transit time of cardiovascular magnetic resonance perfusion scans for quantification of cardiopulmonary haemodynamics

M Segeroth, DJ Winkel, I Strebel, S Yang… - European Heart …, 2023 - academic.oup.com
Aims Pulmonary transit time (PTT) is the time blood takes to pass from the right ventricle to
the left ventricle via pulmonary circulation. We aimed to quantify PTT in routine …

A review of the clinical applications of artificial intelligence in abdominal imaging

BM Mervak, JG Fried, AP Wasnik - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) has been a topic of substantial interest for radiologists in recent
years. Although many of the first clinical applications were in the neuro, cardiothoracic, and …

Advances in the diagnosis of pancreatic cystic lesions

CI Pușcașu, M Rimbaş, RB Mateescu, A Larghi… - Diagnostics, 2022 - mdpi.com
Pancreatic cystic lesions (PCLs) are a heterogenous group of lesions ranging from benign to
malignant. There has been an increase in PCLs prevalence in recent years, mostly due to …