[Edaily Reporter Kwon Oh Seok ] The scope of artificial intelligence (AI) applications in the medical field is rapidly expanding beyond simple diagnosis and data analysis to include hospital operations and actual clinical tasks. The Health Insurance Review and Assessment Service (HIRA) has also begun establishing an institutional framework to support the practical application and commercialization of medical AI, as evidenced by the release last July of a study titled “Development of Evaluation Criteria for the Appropriateness of Reimbursement for AI-Based Medical Technologies and Measures for Their Inclusion in the Reimbursement List.”
Amid these market changes, SELVAS AI Inc.(108860)and its affiliate MEDIANA Co.,LTD(041920)announced on the 15th that they are actively expanding their medical AI business domains, leveraging their respective competitive strengths in AI software and medical devices and hospital infrastructure.

SELVAS AI Inc. is developing medical AI solutions that can be immediately utilized in hospital settings, including voice recognition AI that assists medical staff in documenting patient records. MEDIANA Co.,LTD is securing a stable supply of real-time vital sign data and medical device infrastructure within hospitals through solutions such as its Centralized Monitoring System (CMS), “Unified Central.”
MEDIANA Co.,LTD has built a system that enables the integrated management of vital signs collected from existing patient monitoring devices (PMDs) and wearable devices on a single CMS screen. A key feature is that it significantly improves the operational efficiency of medical staff and bed utilization by combining wearable technology with existing hospital monitoring environments. This wearable-based monitoring solution is currently expanding its coverage to more than 6,000 hospital beds.
In the hospital operations sector, a prime example is the collaboration to build a “hospital-grade physical AI platform” that MEDIANA Co.,LTD announced last July in partnership with FuriosaAI and XYZ. This approach integrates MEDIANA Co.,LTD’s medical data and hospital infrastructure with FuriosaAI’s AI semiconductor (NPU) and XYZ’s AI robot platform.
The vision is to not only analyze real-time vital data—such as electrocardiograms (ECG), blood pressure, and oxygen saturation (SpO₂)—but also to automate internal hospital operations, including the transport of specimens and blood samples, as well as the delivery of medical supplies. This structure involves using AI analysis of data generated by medical devices to drive actual logistics operations.
“Medical Sovereign AI,” an on-premises solution that processes medical data directly on the hospital’s internal servers, is also a key growth driver. SELVAS AI Inc. offers “Selvas MediVoice On-Premises,” which is deployed on hospital servers to recognize medical staff voices in real time and automatically generate medical records. This solution is praised for significantly enhancing security by avoiding the transmission of sensitive medical data to external clouds, while also improving on-site applicability.
AI integration in the diagnostic field is also gaining momentum. Last June, MEDIANA Co.,LTD announced a partnership with Ultrasite, a provider of AI-based echocardiography solutions, to develop a cardiovascular diagnostic platform that combines AI echocardiography technology with existing biosignal monitoring. This strategy aims to expand the medical device business beyond the detection of abnormal signs to include AI-assisted diagnosis.
An official from the financial investment industry emphasized, “The medical AI businesses of SELVAS AI Inc. and MEDIANA Co.,LTD are evolving beyond simply adding AI solutions as new ventures; they are organically integrating the data, software, and hospital infrastructure held by both companies to apply them in actual clinical settings.” The official added, “SELVAS AI Inc.’s speech recognition software and MEDIANA Co.,LTD’s biosignal-based medical device infrastructure will create synergies and rapidly capture market share in the hospital operations and clinical support sectors.”