Exploring the role of AI-driven chatbots in patient care: a critical evaluation amidst healthcare staff shortages

Back

ESC Professional Premium Access

Exploring the role of AI-driven chatbots in patient care: a critical evaluation amidst healthcare staff shortages

Session: Artificial intelligence in cardiovascular medicine: from prediction to transformation of patient care

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Associate Professor R. Olszewski (Warsaw, PL)

Event: ESC Congress 2024

Congress Presentation

Add to my library

About the speaker

Associate Professor Robert Olszewski

National Institute of Geriatrics Rheumatology and Rehabilitation, Warsaw (Poland)

0 follower

8 more presentations in this session

Comparison of machine learning and traditional methods for prediction of adverse clinical events after percutaneous coronary intervention

Speaker: Doctor A. Zaka (Southport, AU)

AI-ECG sex-estimation discordances predict cardiovascular events

Speaker: Mr G. Multinu (Rochester, US)

Predicting physical fitness levels from resting ECG data: a machine learning approach in cardiovascular assessment

Speaker: Mrs M. Cohen-Shelly (Ramat Gan, IL)

Revolutionising patient care: the role of AI-generated avatars in healthcare consultations

Speaker: Professor P. Then (Kuching, MY)

A deep learning model for syncope recognition in the emergency department

Speaker: Doctor A. Giaj Levra (Rozzano, IT)

Access the full session

Artificial intelligence in cardiovascular medicine: from prediction to transformation of patient care

Speakers: Associate Professor R. Olszewski, Doctor A. Zaka, Mr G. Multinu, Mrs M. Cohen-Shelly, Professor P. Then...

Access

About the event

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources