HolmesAI, a digital healthcare AI company, has announced the development of an at-home diagnostic platform capable of identifying 21 types of cardiac arrhythmia and predicting cardiac arrest risk within 24 hours using artificial intelligence.
The company stated Friday that it has finalized development of its wearable-integrated medical AI solution, CLholmes. This innovative platform aims to predict the likelihood of cardiac arrest within a 24-hour window using only electrocardiogram (ECG) data. CLholmes eliminates the need for hospital diagnostics, enabling continuous monitoring and proactive preventative healthcare in daily life.
The technology was developed through a collaborative research effort led by professors Lee Hyung-cheol and Lee Hyun-hoon of Seoul National University Hospital.
HolmesAI is developing CLholmes into a comprehensive digital health service. By seamlessly connecting ECG data generated from wearable devices like smartwatches to patients, attending physicians, and emergency medical centers, CLholmes can detect and provide immediate alerts in cases of elevated cardiac arrest risk.
The integration of wearable technology with medical AI, as exemplified by CLholmes, represents a next-generation remote patient monitoring model. This innovation has the potential to significantly contribute to preventing deaths caused by sudden cardiac arrest. CLholmes received the Innovation Award at CES 2025, recognizing its potential impact.
Coinciding with the completion of the CLholmes AI development, HolmesAI established a New York office in the United States in January as part of its strategic expansion into the global digital healthcare market.
“With the establishment of our New York office, we aim to introduce our wearable-based digital health and medical AI convergence model to the global market,” said a HolmesAI representative. “We also aim to accelerate the development of a prevention-centered healthcare ecosystem that safeguards lives beyond traditional hospital settings.”
HolmesAI was co-founded by Lee Kwang-hyun, who also serves as Chief Strategy Officer. Lee holds bachelor’s and master’s degrees in data science from New York University. (khnews@heralcorp.com)
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