In early March 2025, Indonesia’s Ministry of Health reported over 889,000 tuberculosis (TB) cases — highlighting a major challenge in the country's radiology services. In response, the adoption of AI-powered teleradiology is gaining momentum.
AI-based teleradiology allows remote reading and analysis of radiological images, with all data transmitted and received in real time via the internet.
This technology not only reduces operational costs but also enhances the quality of care and extends radiology services to underserved regions lacking medical specialists.
Slamet Riyanto from Teleradiology Center Indonesia (TCI), stated, “Many hospitals are struggling due to delays in radiological readings. In some cases, it takes more than two to three days. With this system, we aim to distribute radiology expertise more evenly across Indonesia.”
He added, “One radiologist with a SIP license can now cover up to three hospitals. Thanks to teleradiology, radiologists in Java can provide expert reading services for hospitals outside Java. The key is a centralized, integrated system that allows radiologists to perform real-time reading anytime, anywhere.”
