ESC Professional Premium Access

Testing the accuracy of automatic ECG-annotation for suspected acute coronary syndrome

Congress Presentation

About the speaker

Doctor Lauren Sams

Ludwig Maximilians University, Munich (Germany)
0 follower

7 more presentations in this session

Accuracy of machine learning techniques to predict stress echocardiography results using clinical variables

Speaker: Doctor U. Ihekwaba (Leicester, GB)

Thumbnail

Chronic Coronary Syndromes with/without obstructive coronary arteries: are there differences in ongoing chest pain?

Speaker: Ms S. La (Adelaide, AU)

Thumbnail

Diastolic hyperemia-free ratio for the assessment of intermediate coronary artery stenosis in patients with hemodialysis

Speaker: Mr H. Nohara (Sakai, JP)

Thumbnail

Initial results of the READY registry: comparison of visual and physiological lesion characterization and the effect of hydrostatic pressure correction

Speaker: Doctor A. Agoston (Nyiregyhaza, HU)

Thumbnail

ClinicAl verSus algorIthmic predictioN of Obstructive Coronary Artery Disease - the CASINO study

Speaker: Doctor M. Paiva (Lisbon, PT)

Thumbnail

Access the full session

Anatomic and physiological considerations in coronary syndromes

Speakers: Doctor L. Sams, Doctor U. Ihekwaba, Ms S. La, Mr H. Nohara, Doctor A. Agoston...
Thumbnail

About the event

Image

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations