Digital Cardiology: AI Integration in Heart Records in Indonesia

Indonesia is advancing its cardiology care through the integration of artificial intelligence in heart monitoring and diagnostic procedures, as demonstrated at the Indonesian Heart Rhythm Society’s annual scientific meeting in September 2025.

At the ASM InaHRS 2025 event held on September 13, 2025, cardiologists presented how AI-enhanced Holter monitoring is improving the detection of intermittent arrhythmias that often go undiagnosed during standard short-term recordings. Hauda El Rasyid, MD, emphasized the importance of longer monitoring periods to identify subclinical arrhythmias, while Hermawan, MD, discussed optimizing home-based monitoring tools to accelerate early detection of heart rhythm disorders.

I Made Putra Swi Antara, MD, delivered a presentation titled “Incorporating Artificial Intelligence To Detect Arrhythmia: Let’s Embrace The Future,” highlighting AI’s role as a transformative tool in analyzing cardiac data from wearable and ambulatory devices. The technology enables more precise identification of abnormal heart rhythms by processing large volumes of continuous monitoring data, supporting timely clinical intervention.

The symposium also featured a focus on precision in atrial fibrillation treatment, with Symposium 4 addressing a stepwise 3D-guided approach to ablation. Moderated by Chaerul Achmad, MD, PhD, and Fera Hidayati, MD, the session included a presentation on “Step-by-Step 3D-Guided AF Ablation: Techniques and Pearls,” underscoring advancements in procedural accuracy for managing this common arrhythmia.

These developments reflect a broader trend in cardiology where AI is being applied to enhance diagnostic accuracy, personalize monitoring strategies, and improve therapeutic outcomes. Research published in JMA Journal in December 2024 supports this shift, noting that AI integration in clinical cardiology settings improves workflow efficiency and enables more accurate patient care through better data interpretation and predictive analytics.

Further reinforcing these applications, a comprehensive review in Cureus outlines AI’s growing role in heart failure diagnostics, risk prediction, and therapeutic planning, while another study in the Journal of the American College of Cardiology: Advances highlights AI’s impact across cardiovascular imaging, remote monitoring, and precision medicine. Together, these sources indicate that AI is becoming an integral component of modern cardiology practice in Indonesia and globally, particularly in managing arrhythmias and supporting clinical decision-making.