Speaker illustration

Doctor Neil Bodagh

King's College London, London (United Kingdom of Great Britain & Northern Ireland)

Clinical Turing tests with user certainty analysis to create and validate synthetic electrocardiogram images for artificial intelligence-enhanced algorithm development

Event: EHRA 2024

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: eCardiology 1

Thumbnail

Integrating clinical variables with magnetic resonance imaging and electroanatomic mapping parameters to predict response to first-time and repeat atrial fibrillation ablation procedures

Event: EHRA 2024

Topic: Rhythm Control, Catheter Ablation

Session: Poster session on atrial fibrillation and supraventricular tachycardia

Thumbnail

Feasibility of artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis in the current clinical environment: An online survey

Event: EHRA 2023

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: ePoster session 36

Thumbnail

Association between right ventricle size and function on outcomes in COVID-19

Event: Heart Failure 2021

Topic: Clinical

Session: Pulmonary Circulation, Pulmonary Embolism, Right Heart Failure and Hypertension

Thumbnail

ESC 365 is supported by

logo Novo Nordisk
logo Bristol Myers Squibb