Back
ESC2025 Premium Access

An explainable and data-driven approach for coronary artery tortuosity quantification

Session: Application of artificial intelligence in cardiac-computed tomography
Topic: Technology
Speaker: Miss M. Ferrari (Pavia, IT)
Event: ESC Congress 2025

Congress Presentation

Add to my library

Like

About the speaker

Miss Michela Ferrari

University of Pavia, Pavia (Italy)
0 follower

7 more presentations in this session

Optimization of pre-test probability models for obstructive coronary artery disease using explainable artificial intelligence.

Speaker: Mr J. Hennecken (Amsterdam, NL)

Access
Abstract
Slides
Video
Like
Thumbnail

A novel artificial intelligence-powered framework for predicting coronary artery calcium score from non-gated computed tomography

Speaker: Doctor Y. Nozaki (Tokyo, JP)

Access
Abstract
Slides
Video
Like
Thumbnail

AI-driven opportunistic screening for coronary artery calcification on non-gated CT: 1-year follow-up results from Nanox AI

Speaker: Doctor J. Awesat (Petah Tikva, IL)

Access
Abstract
Slides
Video
Like
Thumbnail

Development of a deep learning model for diagnosing cardiomyopathies using hematoxylin and eosin-stained myocardial biopsy images

Speaker: Doctor M. Tanaka (Kyoto, JP)

Access
Abstract
Slides
Video
Like
Thumbnail

Clinical application of artificial intelligence-assisted pulmonary vascular imaging in pulmonary hypertension associated with left heart disease

Speaker: Doctor Y. Zeng (Shanghai, CN)

Access
Abstract
Slides
Video
Like
Thumbnail

Access the full session

Application of artificial intelligence in cardiac-computed tomography

Speakers: Miss M. Ferrari, Mr J. Hennecken, Doctor Y. Nozaki, Doctor J. Awesat, Doctor M. Tanaka...
Access
Like
Thumbnail

About the event

Image

ESC Congress 2025

29 August - 1 September 2025

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

bristol-myers-squibb Explore sponsored resources
novartis Explore sponsored resources