Artificial intelligence (AI)-enhanced electrocardiography: a machine-learning model for differential diagnosis between hypertrophic cardiomyopathy, cardiac amyloidosis and Anderson-Fabry disease

Back

ESC2024 Premium Access

Artificial intelligence (AI)-enhanced electrocardiography: a machine-learning model for differential diagnosis between hypertrophic cardiomyopathy, cardiac amyloidosis and Anderson-Fabry disease

Session: Anderson-Fabry disease: what is in store?

Topic: Hypertrophic Cardiomyopathy

Speaker: Doctor I. Ruotolo (Bologna, IT)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Irene Ruotolo

University Hospital of Bologna S. Orsola-Malpighi Polyclinic, Bologna (Italy)

1 presentation

0 follower

6 more presentations in this session

Incidence and risk factors for development of left ventricular hypertrophy in Fabry disease

Speaker: Doctor E. Monda (Naples, IT)

Development and validation of a smartphone based app to guide the differential diagnosis in patients with primary left ventricular hypertrophy: the Thick Heart App

Speaker: Doctor N. Maurizi (Lausanne, CH)

Anderson-Fabry disease patients with anatomical heart hypertrophy express a higher degree of electrocardiographic hypertrophy compared to hypertrophic cardiomyopathy patients

Speaker: Doctor F. Di Nicola (Bologna, IT)

Prognostic role of ECG patterns in Anderson Fabry disease.

Speaker: Doctor S. Serratore (Catanzaro, IT)

Changes in peak oxygen consumption on excercise and cardiomyopathy disease stage in Fabry disease

Speaker: Doctor A. Roy (Birmingham, GB)

Access the full session

Anderson-Fabry disease: what is in store?

Speakers: Doctor I. Ruotolo, Doctor E. Monda, Doctor N. Maurizi, Doctor F. Di Nicola, Doctor S. Serratore...

Access

About the event

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources