[HTML][HTML] Advancements in AI for cardiac arrhythmia detection: A comprehensive overview
Cardiovascular diseases (CVDs) are a global health concern, demanding advanced
healthcare solutions. Accurate identification of CVDs via electrocardiogram (ECG) analysis …
healthcare solutions. Accurate identification of CVDs via electrocardiogram (ECG) analysis …
Continuous rhythm monitoring with implanted loop recorders in children and adolescents with Brugada syndrome
M Bergonti, G Ciconte, J Cruzalegui Gomez… - Journal of the American …, 2024 - jacc.org
Background Young (< 18 years of age) patients with Brugada syndrome (BrS) are often
under-represented in BrS studies and their management, especially related to syncopal …
under-represented in BrS studies and their management, especially related to syncopal …
Artificial Intelligence in Sports Medicine: Resha** Electrocardiogram Analysis for Athlete Safety—A Narrative Review
Artificial Intelligence (AI) is redefining electrocardiogram (ECG) analysis in pre-participation
examination (PPE) of athletes, enhancing the detection and monitoring of cardiovascular …
examination (PPE) of athletes, enhancing the detection and monitoring of cardiovascular …
Implantable loop recorders in patients with Brugada syndrome: the BruLoop study
Abstract Background and Aims Available data on continuous rhythm monitoring by
implantable loop recorders (ILRs) in patients with Brugada syndrome (BrS) are scarce. The …
implantable loop recorders (ILRs) in patients with Brugada syndrome (BrS) are scarce. The …
aTrial arrhythmias in inhEriTed aRrhythmIa Syndromes: results from the TETRIS study
Aims Little is known about the distribution and clinical course of patients with inherited
arrhythmia syndrome (IAS) and concomitant atrial arrhythmias (AAs). The aim of the study is …
arrhythmia syndrome (IAS) and concomitant atrial arrhythmias (AAs). The aim of the study is …
Multi-channel masked autoencoder and comprehensive evaluations for reconstructing 12-lead ECG from arbitrary single-lead ECG
Electrocardiogram (ECG) has emerged as a widely accepted diagnostic instrument for
cardiovascular diseases (CVD). The standard clinical 12-lead ECG configuration causes …
cardiovascular diseases (CVD). The standard clinical 12-lead ECG configuration causes …
[PDF][PDF] The role for ambulatory electrocardiogram monitoring in the diagnosis and prognostication of Brugada syndrome: a sub-study of the Rare Arrhythmia Syndrome …
C Scrocco, Y Ben-Haim, B Ensam, R Aldous… - Europace, 2024 - academic.oup.com
Abstract Aims Brugada syndrome (BrS) diagnosis and risk stratification rely on the presence
of a spontaneous type 1 (spT1) electrocardiogram (ECG) pattern; however, its spontaneous …
of a spontaneous type 1 (spT1) electrocardiogram (ECG) pattern; however, its spontaneous …
[HTML][HTML] Artificial intelligence streamlines diagnosis and assessment of prognosis in Brugada syndrome: a systematic review and meta-analysis
CJ Leong, S Sharma, J Seth… - Connected Health And …, 2024 - oaepublish.com
Aim: The objective of this systematic review and meta-analysis was to determine the
diagnostic and prognostic utility of artificial intelligence/machine learning (AI/ML) algorithms …
diagnostic and prognostic utility of artificial intelligence/machine learning (AI/ML) algorithms …
[PDF][PDF] Computer Science Review
J Rahul, LD Sharma - researchgate.net
Cardiovascular diseases (CVDs) are a global health concern, demanding advanced
healthcare solutions. Accurate identification of CVDs via electrocardiogram (ECG) analysis …
healthcare solutions. Accurate identification of CVDs via electrocardiogram (ECG) analysis …