Latest AI and machine learning research in cardiovascular for healthcare professionals.
OBJECTIVES: In this study, we developed and validated a deep learning radiomics clinical (DLRC) mode...
PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality in patients u...
Medical imaging data are increasingly used for benchmarking, quality improvement, research, and arti...
BACKGROUND: Uninterrupted delivery of radiation therapy is critical to cancer treatment quality. Unp...
Breast cancer recurrence is thought to arise, at least in part, from disseminated tumour cells (DTCs...
The ERK/MNK/eIF4E signaling axis is critically involved in cap-dependent translation and significant...
For the past seven decades, radiation-induced esophagitis (RE) has been a major dose-limiting acute ...
Convolutional neural networks (CNNs) can predict patient-specific radiation dose distributions, but ...
The clinical implementation of precision oncology remains challenged by intratumoral heterogeneity, ...
Oral cancer (OC), predominantly oral squamous cell carcinoma (OSCC), is a serious global health burd...
BACKGROUND: Establishing a clinically meaningful cutoff value for intraoperative dissection time and...
OBJECTIVES: To evaluate the clinical utility of photon counting computed tomography (PCCT)-derived q...
This study uses an artificial neural network (ANN) architecture in combination with the Levenberg-Ma...
Targeted alpha therapy (TAT) has moved from a largely experimental approach into clinically relevant...
Hybrid molecular imaging is increasingly recognized as a valuable tool for the precision management ...
Lung adenocarcinoma (LUAD) is one of the most common malignancies worldwide. However, patients exhib...
BACKGROUND AND PURPOSE: Assessment of electrophysiological cardiotoxicity in vitro has advanced, yet...
OBJECTIVE: Ensuring CT feature reproducibility across imaging protocols and reconstruction algorithm...
Preoperative molecular subtyping of breast cancer is essential for treatment selection and prognosis...
Computed Tomography (CT) is one of the largest contributors to radiation exposure from medical imagi...
PURPOSE: Efficient delineation of cardiac substructures is essential for assessing radiation-induced...