Artificial intelligence-enhanced electrocardiogram for the diagnosis of cardiac amyloidosis: A systemic review and meta-analysis.

Background: Diagnosis of cardiac amyloidosis (CA) is often delayed due to variability in clinical presentation. The electrocardiogram (ECG) is one of the most common and widely available tools for assessing cardiovascular diseases. Artificial intelligence (AI) models analyzing ECG have recently been developed to detect CA, but their pooled accuracy is yet to be evaluated.

Academic Future of Interventional Radiology Subspecialty: Are We Giving Enough Space to Radiology Trainees?

Background: The aim of this study was to investigate willingness and barriers to academic activities of radiology trainees interested in interventional radiology subspecialty.

Materials And Methods: Radiology trainees and fellows were called to participate a 35-question survey via online platforms and radiological societies. The research survey investigated on involvement in academic activities, willingness of a future academic career, and challenges for pursuing an academic career.

Gender discrepancy in research activities during radiology residency.

Objective: To investigate the presence of gender disparity in academic involvement during radiology residency and to identify and characterize any gender differences in perceived barriers for conducting research.

Methods: An international call for participation in an online survey was promoted via social media and through multiple international and national radiological societies. A 35-question survey invited radiology trainees worldwide to answer questions regarding exposure and barriers to academic radiology during their training.