Artificial intelligence-assisted evaluation of cardiac function by oncology staff in chemotherapy patients.

Aims: Left ventricular ejection fraction (LVEF) calculation by echocardiography is pivotal in evaluating cancer patients' cardiac function. Artificial intelligence (AI) can facilitate the acquisition of optimal images and automated LVEF (autoEF) calculation. We sought to evaluate the feasibility and accuracy of LVEF calculation by oncology staff using an AI-enabled handheld ultrasound device (HUD).

Blood Transfusion Components Inducing Severe Allergic Reactions: The First Case of Kounis Syndrome Induced by Platelet Transfusion.

Kounis syndrome is a multisystem and multidisciplinary disease affecting the circulatory system that can be manifested as spasm and thrombosis. It can occur as allergic, hypersensitivity, anaphylactic, or anaphylactoid reactions associated with the release of inflammatory mediators from mast cells and from other interrelated and interacting inflammatory cells, including macrophages and lymphocytes. A platelet subset with high- and low-affinity IgE surface receptors is also involved in this process.

Clinical validation of an artificial intelligence-assisted algorithm for automated quantification of left ventricular ejection fraction in real time by a novel handheld ultrasound device.

Aims: We sought to evaluate the reliability and diagnostic accuracy of a novel handheld ultrasound device (HUD) with artificial intelligence (AI) assisted algorithm to automatically calculate ejection fraction (autoEF) in a real-world patient population.

Methods And Results: We studied 100 consecutive patients (57 ± 15 years old, 61% male), including 38 with abnormal left ventricular (LV) function [LV ejection fraction (LVEF) < 50%]. The autoEF results acquired using the HUD were independently compared with manually traced biplane Simpson's rule measurements on cart-based systems to assess method agreement using intra-class correlation coefficient (ICC), linear regression analysis, and Bland-Altman analysis.

Excessive supraventricular ectopic activity and future onset of atrial fibrillation in patients with cryptogenic stroke.

Objectives: Although evidence has shown the association of excessive supraventricular ectopic activity (ESVEA) with future development of atrial fibrillation (AF), this relationship is not yet fully understood. This study examines whether ESVEA can predict the future onset of AF, in patients presenting with cryptogenic stroke.

Materials And Methods: A retrospective cohort of 124 non-AF, consecutive patients, hospitalized for cryptogenic stroke between 2014 and 2015, was retrieved.

A Novel Handheld Echocardiography Device with Continuous-Wave Doppler Capability: Implications for the Evaluation of Aortic Stenosis Severity.

Background: The aim of this study was to evaluate the ability of a novel handheld echocardiography (HHE) device with continuous-wave Doppler (CWD) capability to measure aortic valve peak jet velocity (Vmax) and facilitate aortic stenosis (AS) severity grading.

Methods: One hundred twenty-one consecutive patients with known or suspected AS were prospectively included. All patients were scanned with the HHE device and a high-end echocardiography system (the reference standard) to obtain CWD signal across the aortic valve.