Machine Learning in Cardiology

This workshop, titled "Machine Learning in Cardiology: Innovations and Applications," explores the current and future applications of machine learning (ML) in cardiology, focusing on its potential to enhance patient care and improve outcome prediction.

𝐀𝐠𝐞𝐧𝐝𝐚 𝐚𝐧𝐝 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐎𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬

•Overview of ML

•Opportunities and Challenges of ML
Integration into Cardiology

•ML for Cardiac Imaging

•Applications of ML for Prediction

•ML in ECG Analysis

•Multi-modal data integration:
imaging, genomics, and biomarkers

•Future of ML in Cardiology

Video

Khalid Abukhalaf,

6th Year Medical Student
Interested in Cardiology Research

Twitter / X

Click here to download the video slides