Toward explainable artificial intelligence for precision pathology

F Klauschen, J Dippel, P Keyl… - Annual Review of …, 2024 - annualreviews.org
The rapid development of precision medicine in recent years has started to challenge
diagnostic pathology with respect to its ability to analyze histological images and …

Clinical applications of artificial intelligence in liver imaging

A Yamada, K Kamagata, K Hirata, R Ito, T Nakaura… - La radiologia …, 2023 - Springer
This review outlines the current status and challenges of the clinical applications of artificial
intelligence in liver imaging using computed tomography or magnetic resonance imaging …

Prognostic value of initial and longitudinal changes in body composition in metastatic pancreatic cancer

MW Lee, SK Jeon, WH Paik, JH Yoon… - Journal of Cachexia …, 2024 - Wiley Online Library
Background Sarcopenia or visceral adipose tissue has been reported to be related to
pancreatic cancer prognosis. However, clinical relevance of the comprehensive analysis of …

[HTML][HTML] Prognostic value of deep learning-derived body composition in advanced pancreatic cancer—a retrospective multicenter study

J Keyl, A Bucher, F Jungmann, R Hosch, A Ziller… - ESMO open, 2024 - Elsevier
Background Despite the prognostic relevance of cachexia in pancreatic cancer, individual
body composition has not been routinely integrated into treatment planning. In this …

SAROS: A dataset for whole-body region and organ segmentation in CT imaging

S Koitka, G Baldini, L Kroll, N van Landeghem… - Scientific Data, 2024 - nature.com
Abstract The Sparsely Annotated Region and Organ Segmentation (SAROS) dataset was
created using data from The Cancer Imaging Archive (TCIA) to provide a large open-access …

Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis

D Westhölter, J Haubold, M Welsner, L Salhöfer… - Scientific Reports, 2024 - nature.com
A poor nutritional status is associated with worse pulmonary function and survival in people
with cystic fibrosis (pwCF). CF transmembrane conductance regulator modulators can …

The development of an attention mechanism enhanced deep learning model and its application for body composition assessment with L3 CT images

L Zhang, J Li, Z Yang, J Yan, L Zhang, L Gong - Scientific Reports, 2024 - nature.com
Body composition assessment is very useful for evaluating a patient's status in the clinic, but
recognizing, labeling, and calculating the body compositions would be burdensome. This …

[HTML][HTML] AI-derived body composition parameters as prognostic factors in patients with HCC undergoing TACE in a multicenter study

L Müller, A Mähringer-Kunz, TA Auer, U Fehrenbach… - JHEP Reports, 2024 - Elsevier
Background & Aims Body composition assessment (BCA) parameters have recently been
identified as relevant prognostic factors for patients with hepatocellular carcinoma (HCC) …

Computed tomography (CT)-based skeletal muscle vertebral-related index to assess low muscle mass in patients with non-small cell lung cancer

Y Huang, F Yuan, L Yang, H Guo… - … Imaging in Medicine …, 2024 - pmc.ncbi.nlm.nih.gov
Background Patients with lung cancer accompanied by sarcopenia may have a poor
prognosis. Normally, low muscle mass associated with sarcopenia is assessed using the …

Drug-eluting beads transcatheter arterial chemoembolization combined with systemic therapy versus systemic therapy alone as firstline treatment for unresectable …

F Wang, L Chen, C Bin, Y Cao, J Wang, G Zhou… - Frontiers in …, 2024 - frontiersin.org
The purpose of this retrospective study was to compare the therapeutic efficacy and safety of
drug-eluting bead transarterial chemoembolization (DEB-TACE) combined with systemic …