Description
This session will explore how to harness the potential of artificial intelligence (AI) to predict the risk and outcomes of patients using different technologies, including ECGs, cardiac imaging, and wearable monitors.
Learning Objectives
- Describe how AI can use ECG information to predict patient outcomes.
- Explore how cardiac imaging can be used to predict arrhythmia risk, including atrial fibrillation.
- Summarize how data from patient wearables can be used to predict future health-related outcomes, including hospitalizations.
Session Chair(s)
Vivek Iyer, MD, MSE
Presentation
Electrocardiography-based artificial intelligence model estimates risk for short- and long-term all-cause mortalities.
Presenter(s): Je-Wook Park, Oh-Seok Kwon, Daehoon Kim, MD, Hee Tae Yu, MD, PhD, Tae-Hoon Kim, MD, Jae-Sun Uhm, MD, Boyoung Joung, MD, PhD, Moon Hyoung Lee, MD, Chun Hwang, MD, Hui-Nam Pak, MD, PhD
Predicting All-Cause Hospitalizations Using Machine Learning Applied to Wearable Fitness Tracker Step Data
Presenter(s): John Kundrick, MD, MPH, Aditi Naniwadekar, Virginia Singla, Krishna Kancharla, MBBS, Aditya Bhonsale, MBBS, MD, MHS, Andrew H. Voigt, MD, Alaa Shalaby, MD, MS, Mark Estes, MD, Sandeep K. Jain, MD, Samir F. Saba, MD
Use of artificial intelligence-assisted MRI images to identify underlying atrial fibrillation after ischemic stroke
Presenter(s): Zijie Zhang, Kaibin Lin, Dong Huang
Changes in artificial intelligence-based electrocardiographic aging and the risk of stroke in newly diagnosed patients with atrial fibrillation
Presenter(s): Daehoon Kim, MD, Hanjin Park, MD, Oh-Seok Kwon, Je-Wook Park, Hee Tae Yu, MD, PhD, Tae-Hoon Kim, MD, Jae-Sun Uhm, MD, Boyoung Joung, MD, PhD, Moon Hyoung Lee, MD, Hui-Nam Pak, MD, PhD
Enhancing Thromboembolic and Major Adverse Cardiac Events Risk Assessment in Atrial Fibrillation Using AI-Driven ECG: A Comparative Analysis with CHA2DS2-VA Scoring
Presenter(s): Yong-Soo Baek, MD, PhD
Disclosures
Oh-Seok Kwon:
- Nothing Relevant to Disclose
John Kundrick:
- Nothing Relevant to Disclose
Zijie Zhang:
- Nothing Relevant to Disclose
Daehoon Kim:
- Nothing Relevant to Disclose
Yong-Soo Baek:
- Nothing Relevant to Disclose
To view all Heart Rhythm 2025 Faculty Disclosures, please click
here.