Table 2.

Future directions of artificial intelligence in electrophysiology and proposed studies to advance toward these future directions

Future directions	Approaches
1. Centralized global data collection, collation, and access to improve the accuracy and efficiency of many algorithms and processes	Greater collaboration and coordination among clinician scientists, professional societies, medical institutions, research organizations, and regulatory bodies, driven by governments and appropriate legislations to promote easy and open data exchange
2. Upstream primary prevention and downstream secondary prevention models for disease management using genetic, molecular, demographic, clinical, and environmental data	Consider focusing on individual diseases with a broader interlinking as one makes incremental progress in unlocking the pathophysiology and disease evolution
3. Creation of robust infrastructure that facilitates open, accessible platform	Interlinking of electronic medical records and epidemiological data with appropriate regulatory oversight