Back

Can an AI-powered smartphone app that takes 12-lead ECGs help Japanese patients decide on strategies for coronary intervention?

21 November 2025 (14:10 - 14:55)
Organised by: Logo
Congress Presentation Part of: Evaluating the clinical impact of mHealth solutions in cardiology Electrocardiogram (ECG) and Arrhythmia Analysis Open Access ESC Digital & AI Summit 2025 European Society of Cardiology

About the speaker

Photo
Associate Professor Toshiki Kaihara

St. Marianna University School of Medicine, Kawasaki (Japan)

5 More presentations in this session

Presentation thumbnail
Design of an open research platform for smartphone-based photoplethysmography acquisition with real-time signal quality control and feature extraction
Doctor M. Solinski (London, GB)
Abstract Slides
Presentation thumbnail
A digital solution to deliver remote training programs after centre-based cardiac rehabilitation for acutely decompensated heart failure: the PROMETEO study.
Doctor C. Beccaluva (Crema, IT)
Abstract Slides
Presentation thumbnail
Integrating point-of-care NT-proBNP testing into mobile health: enhancing diagnosis, screening, and monitoring of heart failure
Professor D. Gruson (Brussels, BE)
Abstract Slides
Presentation thumbnail
Comparison of standard of care and pre-cardioversion heart rhythm monitoring using smartphone PPG (SMARTBEATS-RCT) - a randomized clinical trial
Doctor J. Fernstad (Stockholm, SE)
Abstract Slides
Presentation thumbnail
Evaluating the feasibility of the AI-powered Calcount smart diet smartphone application among healthcare workers in a pilot study
Doctor S. Kizilkilic (Hasselt, BE)
Abstract Slides

Access the full session

Session thumbnail
Evaluating the clinical impact of mHealth solutions in cardiology

The Event

Event poster

ESC Digital & AI Summit 2025

21 November 2025 14:10 CET
You may be interested in
thumbnail
Congress Session
Why signal quality matters? The importance of ECG and intracardiac signal quality to empower emerging AI technologies
thumbnail
Congress Session
Evolutions in arrythmia and syncope management
thumbnail
Congress Session
Artificial intelligence in arrhythmia care: good news for EPeeps?

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources