From Allergy to Angina: A Unique Presentation of Kounis Syndrome
ABSTRACT Kounis syndrome (KS) is a rare condition characterized by acute coronary syndrome (ACS) triggered by an allergic reaction. This report presents a case of high‐risk ACS associated with a food allergy. A 53‐year‐old male with no prior medical history presented to the emergency department with itching, facial swelling, chest tightness, shortness ...
Momen Ali+3 more
wiley +1 more source
Improving auscultatory proficiency using computer simulated heart sounds
This study aimed to examine the effects of 'Heart Sounds', a web-based program on improving fifth-year medical students' auscultation skill in a medical school in Egypt. This program was designed for medical students to master cardiac auscultation skills
Hanan Salah EL-Deen Mohamed EL-Halawany+1 more
doaj
An overview of the current genetic and phenotypical selection strategies to reduce the prevalence of feline hypertrophic cardiomyopathy = Een overzicht van de huidige genetische en fenotypische selectiestrategieën tegen hypertrofe cardiomyopathie bij de kat [PDF]
Hypertrophic cardiomyopathy (HCM) is a common and potentially lethal heart disease in cats. To reduce its prevalence, breeding cats are frequently screened on the basis of their phenotype or genotype.
Broeckx, Bart+3 more
core +1 more source
Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler+8 more
wiley +1 more source
Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform
Background Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning approaches have shown promise in medicine by transforming collected data into clinically ...
John S. Chorba+29 more
doaj +1 more source
Real-time Neonatal Chest Sound Separation using Deep Learning [PDF]
Auscultation for neonates is a simple and non-invasive method of providing diagnosis for cardiovascular and respiratory disease. Such diagnosis often requires high-quality heart and lung sounds to be captured during auscultation. However, in most cases, obtaining such high-quality sounds is non-trivial due to the chest sounds containing a mixture of ...
arxiv
ABSTRACT Introduction/Objectives: Agoutis is a medium‐sized wild rodent with potential for use as an experimental model. This study aimed to evaluate physiological parameters of arrhythmogenesis in this species, by HR‐ECG and VCG techniques, under physical and pharmacological containment (ketamine‐xylazine and butorphanol). Materials and methods: Eight
Charlys Rhands Coelho de Moura+9 more
wiley +1 more source
Accurate and fast neonatal heart rate assessment with a smartphone‐based application – a manikin study [PDF]
Aim: This study determined the accuracy and speed of the NeoTapLifeSupport (NeoTapLS), a free smartphone application that aims to assess a neonate's heart rate.
Alfven, Tobias+4 more
core +1 more source
Epidermolysis bullosa for primary care providers: A practical review
Abstract Epidermolysis bullosa (EB) is a group of genetic skin diseases, which manifest as fragile skin and blistering in addition to many extracutaneous conditions. Pediatricians and primary care providers play an integral role in managing these patients with multifaceted care needs.
Kennedy Sparling+9 more
wiley +1 more source
Thrilling AI – A novel, signal-based digital biomarker for diagnosing canine heart diseases
Auscultation methods enable non-invasive diagnosis of diseases, e.g. of the heart, based on heartbeat sounds. Regular, early examinations using machine learning techniques could help to detect diseases at an early stage to prevent serious health ...
Bisgin Pinar+9 more
doaj +1 more source