Objective To evaluate the usage of a well-known and widely adopted checklist, Checklist for
Artificial Intelligence in Medical imaging (CLAIM), for self-reporting through a systematic …

Breast cancer is a common disease that causes great health concerns to women worldwide.
During the diagnosis and treatment of breast cancer, medical imaging plays an essential …

Breast cancer has replaced lung cancer as the number one cancer among women
worldwide. In this paper, we take breast cancer as the research object, and pioneer a hybrid …

Objectives Focal cortical dysplasia (FCD) represents one of the most common causes of
refractory epilepsy in children. Deep learning demonstrates great power in tissue …

Background The aim of the study was to employ a combination of radiomic indicators based
on computed tomography (CT) imaging and machine learning (ML), along with deep …

Purpose To conduct the fusion of radiomics and deep learning features from the intratumoral
and peritumoral areas in breast DCE-MRI images to differentiate between benign and …

Simple Summary This study aimed to develop and validate a radiomic model for predicting
overall survival (OS) in glioblastoma multiforme (GBM) patients using pre-treatment MRI …

Objectives The Kaiser scoring system for breast magnetic resonance imaging is a clinical
decision-making tool for diagnosing breast lesions. However, the Kaiser score (KS) did not …

In the evolving landscape of artificial intelligence (AI) and personalized medicine, the
significance of employing supervised and unsupervised learning techniques has surged …

The Corona pandemic and the accompanying acceleration of digitization in the
Germanspeaking world have shown that the conventional working models in many editorial …