SCORE2-ASIA risk prediction algorithms: revised models to estimate 10-year risk of cardiovascular disease in the Asia Pacific Region

Back

ESC Premium Access

SCORE2-ASIA risk prediction algorithms: revised models to estimate 10-year risk of cardiovascular disease in the Asia Pacific Region

Session: Machine learning in preventive cardiology

Topic: Cardiovascular Risk Assessment

Speaker: Doctor S. Hageman (Utrecht, NL)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Steven Hageman

University Medical Center Utrecht, Utrecht (Netherlands (The))

3 presentations

0 follower

8 more presentations in this session

Machine learning identifies individuals at higher risk of incident cardio-renal-metabolic diseases and cardiovascular death who have unrealised opportunities to reduce future cardiovascular risk

Speaker: Doctor M. Haris (Leeds, GB)

The relationship between retinal vascular parameters measured by artificial intelligence and the risk of new-onset cardiovascular disease in a Chinese community-based population

Speaker: Doctor F. Fan (Beijing, CN)

Predicting atrial fibrillation within 7 years follow-up using machine learning models

Speaker: Miss K. Tsarapatsani (Ioannina, GR)

The association between cardiovascular health and physiologic age as determined by artificial intelligence-enabled electrocardiography

Speaker: Doctor L. Ortega Aviles (Rochester, US)

Coronary artery calcium scans powered by artificial intelligence (AI-CAC) predicts atrial fibrillation and stroke comparably to cardiac magnetic resonance imaging: MESA

Speaker: Doctor M. Naghavi (Houston, US)

Access the full session

Machine learning in preventive cardiology

Speakers: Doctor S. Hageman, Doctor M. Haris, Doctor F. Fan, Miss K. Tsarapatsani, Doctor L. Ortega Aviles...

Access

About the event

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources