Seoul: Digital health care startup HolmesAI Co. announced the development of a digital diagnostic platform based on artificial intelligence (AI) capable of detecting 21 types of cardiac arrhythmia at home, predicting the risk of cardiac arrest within 24 hours. The platform, named CLholmes, analyzes electrocardiogram (ECG) data to estimate the likelihood of cardiac arrest within the next 24 hours.

According to Yonhap News Agency, the technology was developed through joint research by professors Lee Hyung-cheol and Lee Hyun-hoon of Seoul National University Hospital. HolmesAI stated that the platform is designed to enable continuous monitoring and preventive health care in everyday life. The service integrates in real time with ECG data generated by wearable devices, such as smartwatches, allowing early detection of cardiac arrest risk signals and immediate alerts to patients, attending physicians, and emergency medical centers.

CLholmes received the Innovation Award at the 2025 Consumer Electronics Show (CES) in Las Vegas. Following this development, HolmesAI opened a New York office last month as part of its efforts to expand into the global digital health care market. A company official noted that the establishment of the New York office aims to introduce their wearable-based digital health and medical AI convergence model to the global market and accelerate the development of a prevention-centered health care ecosystem beyond hospital settings.