[HTML][HTML] Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions

M Khalifa, M Albadawy - Computer Methods and Programs in Biomedicine …, 2024 - Elsevier
Background Clinical prediction is integral to modern healthcare, leveraging current and
historical medical data to forecast health outcomes. The integration of Artificial Intelligence …

[HTML][HTML] Cardiac computed tomography radiomics: a narrative review of current status and future directions

J Shang, Y Guo, Y Ma, Y Hou - Quantitative Imaging in Medicine …, 2022 - ncbi.nlm.nih.gov
Methods We searched for English-language articles published between January 2010 and
August 2021 in the databases of PubMed, Embase, and Google Scholar. The keywords …

Myocardial function prediction after coronary artery bypass grafting using mri radiomic features and machine learning algorithms

F Arian, M Amini, S Mostafaei, K Rezaei Kalantari… - Journal of digital …, 2022 - Springer
The main aim of the present study was to predict myocardial function improvement in cardiac
MR (LGE-CMR) images in patients after coronary artery bypass grafting (CABG) using …

Preoperative prediction of pancreatic neuroendocrine tumor grade based on 68Ga-DOTATATE PET/CT

J Ma, X Wang, M Tang, C Zhang - Endocrine, 2024 - Springer
Objective To establish a prediction model for preoperatively predicting grade 1 and grade
2/3 tumors in patients with pancreatic neuroendocrine tumors (PNETs) based on 68Ga …

Radiomics analysis of contrast-enhanced T1W MRI: predicting the recurrence of acute pancreatitis

L Tang, L Ma, Y Chen, Y Hu, X Chen, X Huang… - Scientific Reports, 2023 - nature.com
To investigate the predictive value of radiomics based on T1-weighted contrast-enhanced
MRI (CE-MRI) in forecasting the recurrence of acute pancreatitis (AP). A total of 201 patients …

Quality assessment of radiomics research in cardiac CT: a systematic review

S Lee, K Han, YJ Suh - European Radiology, 2022 - Springer
Objectives To assess the quality of current radiomics research on cardiac CT using
radiomics quality score (RQS) and Transparent Reporting of a multivariable prediction …

Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment

G Cundari, L Marchitelli, G Pambianchi, F Catapano… - La radiologia …, 2024 - Springer
Cardiac computed tomography angiography (CCTA) is considered the standard non-
invasive tool to rule-out obstructive coronary artery disease (CAD). Moreover, several …

[HTML][HTML] Deep learning applications in myocardial perfusion imaging, a systematic review and meta-analysis

E Alskaf, U Dutta, CM Scannell, A Chiribiri - Informatics in Medicine …, 2022 - Elsevier
Background Coronary artery disease (CAD) is a leading cause of death worldwide, and the
diagnostic process comprises of invasive testing with coronary angiography and non …

Coronary computed tomography angiography imaging features combined with computed tomography-fractional flow reserve, pericoronary fat attenuation index, and …

J Hou, G Zheng, L Han, Z Shu, H Wang, Z Yuan… - Journal of Nuclear …, 2023 - Elsevier
Background This study aimed to predict myocardial ischemia (MIS) by constructing models
with imaging features, CT-fractional flow reserve (CT-FFR), pericoronary fat attenuation …

Radiomics in cardiac computed tomography

I Ayx, MF Froelich, S Baumann, T Papavassiliu… - Diagnostics, 2023 - mdpi.com
In recent years, there has been an increasing recognition of coronary computed
tomographic angiography (CCTA) and gated non-contrast cardiac CT in the workup of …