{"@context":"https://schema.org","@type":"CollectionPage","name":"PR","description":"PR articles and updates","mainEntity":{"@type":"ItemList","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/233","url":"/en/news-media/pr/detail/233","headline":"Hospital Retransfer Rate Drops to 0.6%: How AI Has Transformed Prehospital Decision-Making","description":"

Emergency cardiovascular AI improves ECG utilization and hospital retransfer rates; transport to PCI-capable hospitals rises to 96% following the introduction of ECG Buddy.

[Jeju Domin Ilbo, Reporter Woo Jong-hee] Jeju is developing a new cardiovascular emergency care ecosystem centered on artificial intelligence (AI)-based electrocardiogram analysis, connecting hospitals, fire and emergency services, and data platforms. A collaborative framework has been established in which ECG AI technology developed by Seoul National University Bundang Hospital is applied by the Jeju Fire and Disaster Headquarters in prehospital settings, while Jeju National University Hospital oversees its operation and evaluates its performance. This has led to higher ECG utilization rates, improved transport to appropriate hospitals, and confirmed accuracy in predicting myocardial infarction.

At the “Jeju AI-Based Symposium on the Transport, Interhospital Transfer, and Collaborative Care of Critically Ill Cardiovascular Emergency Patients,” held on the 31st, Professor Kim Jung-hee of Seoul National University Bundang Hospital presented the background and clinical applications of ECG AI technology in a session titled “Electrocardiogram Artificial Intelligence for Emergency Care.”

“ECG is an inexpensive and rapid diagnostic test, but it has not been sufficiently utilized in emergency settings because pattern recognition, quantification, and clinical interpretation are difficult,” he said.

He continued, “By using AI, we have improved the detection of various warning signs—including myocardial infarction, heart failure, hyperkalemia, pulmonary edema, right ventricular dysfunction, and pericardial effusion—to a level that can be practically used in emergency departments and prehospital emergency care.”

The ECG AI system is currently integrated with 120 hospitals across Korea and analyzes approximately 250,000 ECGs per month. It has also demonstrated strong performance in external validation using data from the Mayo Clinic in the United States.

➡️ Read the full article

Source: Jeju Domin Ilbo

","datePublished":"2026-07-31","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":2,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/234","url":"/en/news-media/pr/detail/234","headline":"AI ECG predicts postoperative death risk, may reduce unnecessary cardiac tests: SNUBH","description":"

A preoperative electrocardiogram (ECG) analyzed by AI can identify patients at high risk of postoperative death and help rule out those unlikely to need additional cardiac testing, according to a new study by researchers at Seoul National University Bundang Hospital (SNUBH).

The research team, led by Professor Choi Hong-mi, resident physician Kim Ye-rin, Professor Cho Young-jin of the Department of Cardiology, and Professor Song In-ae of the Department of Anesthesiology and Pain Medicine, analyzed data from 46,000 non-cardiac surgeries performed between 2020 and 2021 to evaluate the predictive performance of AI-based ECG analysis and its ability to guide the use of advanced cardiac examinations.

An ECG records the heart's electrical activity, but subtle waveform variations and complex patterns are often difficult for clinicians to interpret.

Building on this limitation, Professor Kim Joong-hee of the Department of Emergency Medicine and Professor Cho previously developed ECG Buddy, an AI-powered ECG analysis solution that quantifies hidden cardiovascular risks beyond conventional interpretation. The platform is now widely used in emergency departments across Korea.

➡️ Read the full article

Source: KBR(https://www.koreabiomed.com)

","datePublished":"2026-07-20","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":3,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/224","url":"/en/news-media/pr/detail/224","headline":"ARPI participates in the Mayo Clinic healthcare showcase","description":"

ARPI (CEO Kim Joong-hee) announced that it participated in the “Mayo Clinic Platform_Accelerate Showcase,” held in Rochester, Minnesota, from the 7th to the 8th. ARPI was the only Korean company among the 25 global healthcare firms participating in the event, where it showcased its AI ECG analysis solution, ‘ECG Buddy.’

Mayo Clinic is widely regarded as one of the most prestigious medical institutions in the United States, and Mayo Clinic Platform_Accelerate is a global program dedicated to identifying and nurturing next-generation digital healthcare innovators. The showcase was attended by a large number of key figures in the medical field, including heads of major clinical departments at Mayo Clinic, executives, investors, and representatives from the Minnesota healthcare ecosystem.

➡️ Read the full article

Source: Donga-Ilbo

","datePublished":"2026-04-09","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":4,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/218","url":"/en/news-media/pr/detail/218","headline":"ARPI launches ‘ECG Buddy Clinic,’ an AI ECG Solution Specialized for Health Screenings","description":"

ARPI (CEO Kim Joong-hee, hereinafter “ARPI”) announced the official launch of ECG Buddy Clinic, an AI-based ECG analysis solution tailored for health screening settings, and revealed that it will participate for the first time in two major domestic health screening academic conferences on March 22 and 29.

ECG Buddy Clinic is an AI-based ECG analysis solution that has obtained Class 3 medical device approval (D-Permit No. 25-9) from the Ministry of Food and Drug Safety. It analyzes 12-lead ECG data to quantitatively derive five digital biomarkers, with the aim of assisting medical professionals in diagnosing high-risk groups for cardiovascular disease.

ECG Buddy Clinic quantitatively assesses the risk of the following conditions from a single ECG test: ▲estimation of left ventricular ejection fraction (LVEF) ▲screening for high-risk groups for coronary artery disease (CADS) ▲screening for left ventricular hypertrophy (LVH) ▲screening for patients with paroxysmal atrial fibrillation (PAF) ▲screening for high-risk groups for hypertrophic cardiomyopathy (HCM).

ARPI will operate booths at the 11th Spring Academic Conference of the Korean Society of Health Screening, held on Sunday, March 22, at Lotte Hotel Seoul, and at the 35th Spring Academic Conference and 30th Ultrasound Training Course of the Korean Society of Medical Screening, held on Sunday, March 29, at the SC Convention Center, marking the first time ECG Buddy Clinic will be showcased at these academic conferences. As both events are attended by numerous medical professionals specializing in health screenings, ALP plans to conduct product demonstrations and provide consultation on implementation.

Kim Joong-hee, CEO of ARPI, stated, “The ECG Buddy Clinic goes beyond the limitations of conventional ECG interpretation in health screenings and sets a new standard by enabling the simultaneous screening of five high-risk groups for cardiovascular disease with a single test,” “Going forward, we will contribute to ensuring that more patients receive timely and appropriate treatment through collaboration with health screening institutions nationwide,” he added.

Han Ah-reum, Intern Reporter han.areum2@joongang.co.kr

➡️ Read the full article

Source: The Joong Ang

","datePublished":"2026-03-26","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":5,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/215","url":"/en/news-media/pr/detail/215","headline":"'ECG Buddy’ Receives European CE MDR Certification","description":"

ARPI Inc. (CEO: Kim Joong-hee) announced that its AI-based electrocardiogram (ECG) analysis solution, “ECG Buddy,” has obtained certification under the European Medical Device Regulation (CE MDR).

CE MDR is a regulatory framework implemented by the European Union to verify the safety and performance of medical devices. It is a mandatory requirement for selling medical devices in the European market. Compared to the previous CE MDD, the certification has significantly stricter requirements for clinical data and post-market surveillance, making it more difficult to obtain.

ECG Buddy is a software medical device that uses AI to analyze ECG images and assist clinicians in interpretation. It has already received Class II approval from Korea’s Ministry of Food and Drug Safety and has been designated as a new medical technology under evaluation exemption, allowing it to be used as a non-reimbursed service.

Since its founding in 2021, ARPI has focused on developing ECG-centered AI technologies. With this certification, the company has now secured the official requirements to enter the European market.

CEO Kim Joong-hee stated: “This CE MDR certification officially validates the accuracy and safety of ECG Buddy under Europe’s rigorous standards. It marks an important milestone in creating a new global standard in healthcare. Starting with Europe, we will bring meaningful changes to clinical practice worldwide.”

➡️ Read the full article

Source: Dong-A Ilbo

","datePublished":"2026-02-26","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":6,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/214","url":"/en/news-media/pr/detail/214","headline":"Bundang Seoul National University Hospital Receives Global Certification for AI and Data Analysis Capabilities","description":"

Bundang Seoul National University Hospital announced on the 23rd that it has achieved Level 7 certification, the highest level, in the ‘Modernized AMAM’—a new AI and data utilization assessment model by the globally recognized Healthcare Information and Management Systems Society (HIMSS).

The hospital also received high praise for successfully implementing AI in emergency medical settings, a core component of essential healthcare. AI-based ‘ECG Buddy,’ which analyzes electrocardiogram results, is credited with contributing to securing the golden hour for treatment by rapidly and accurately assessing the risk level of cardiac patients in the emergency room.

➡️ Read the full article

Source: Health Chosun

","datePublished":"2026-02-23","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":7,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/213","url":"/en/news-media/pr/detail/213","headline":"[Notice] Service Update regarding EU MDR Compliance & App Availability in Europe","description":"

Dear ECG Buddy Researcher in Europe,
We are pleased to announce that ARPI Inc. has officially received EU MDR CE Certification for our AI-based ECG analysis solution, ECG Buddy.
This milestone marks a significant step forward in providing a clinically validated medical device service in your region.
$\":warning:\"$ Notice Regarding the Current \"Research Use Only\" Version
As we prepare to launch the official CE-certified version, we are currently transitioning our service infrastructure to comply with EU medical device regulations.
Please be advised of the following regarding the current version installed on your device:

Service Transition: The current version is a legacy release designated for \"Research Use Only (RUO).\"
Potential Access Restriction: During this transition period, access to the RUO version or specific features may be restricted in your region to ensure regulatory compliance.
Upcoming Update: We are finalizing the official CE-certified version, which will be available on major platforms in Europe soon.

We apologize for any inconvenience this may cause and appreciate your understanding as we upgrade our service to meet the highest clinical standards.
We will notify you immediately once the official update is live.
Thank you for your continued support.
Sincerely,

ARPI team

","datePublished":"2026-02-14","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":8,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/210","url":"/en/news-media/pr/detail/210","headline":"Medical AI Firm ARPI Wins Grand Prize for \"App of the Year\" from Korean Heart Failure Society Digital Health Research Group","description":"

The following is the English translation of the original Korean news article

[Medical Observer Reporter Park Sun-hye] Medical artificial intelligence (AI) company Alpi has won the Grand Prize for App of the Year from the Korean Heart Failure Society Digital Health Research Group.

Alpi CEO Kim Joong-hee (Professor, Department of Emergency Medicine, Seoul National University Bundang Hospital) received the award at the ‘AI & Innovation Showcase’ session during the Korean Heart Failure Society Digital Health Research Group Winter Symposium held at the SC Convention Center on the 7th.

This inaugural showcase session featured presentations and demonstrations by seven companies. Following the presentations, a panel of eight judges rigorously evaluated the entries to select one grand prize winner.

CEO Kim introduced and demonstrated ‘ECG Buddy Clinic,’ an AI service dedicated to electrocardiogram (ECG) analysis for screening and outpatient care.

➡️ Read the full article

출처: MEDICAL Observer

","datePublished":"2026-02-09","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":9,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/189","url":"/en/news-media/pr/detail/189","headline":"ECG Buddy Introduced to 119 Emergency Medical Services...Real-time Sharing of Critical Cardiovascular Patient Status with Hospitals","description":"

The following article has been translated into English from the original article

Jeju National University Hospital - Provincial Fire and Safety Headquarters - Seogwipo Medical Center - RP Co., Ltd. Sign Business Agreement
Real-time ECG Information Shared with Hospitals, Expected to Secure Golden Time

An AI-based system for transport, transfer, and medical cooperation is being established to further increase the survival rate of severe cardiovascular emergency patients in the Jeju region.

Jeju National University Hospital (President Choi Guk-myeong), the Jeju Special Self-Governing Province Fire Safety Headquarters, Seogwipo Medical Center, and RP Co., Ltd. signed a four-party business agreement on the 29th at the Jeju National University Hospital International Conference Room to establish an ‘AI-based Severe Cardiovascular Emergency Patient Transport, Transfer, and Medical Cooperation System’.

This agreement aims to strengthen medical care continuity from the pre-hospital stage through arrival at the hospital for severe cardiovascular emergency patients and to build a more efficient regional emergency medical response system.

It is expected to contribute to securing the golden hour by enabling rapid diagnosis and treatment preparation. This will be achieved through the real-time sharing of ECG information measured on-site with medical staff via the AI-based ECG analysis software medical device ‘ECG Buddy’, which will be introduced to all 119 ambulance teams across the province.

Under this agreement, Jeju National University Hospital and Seogwipo Medical Center will implement: ▲ Medical consultation and treatment cooperation ▲ Provision of interventional procedures and treatments ▲ Operation of training programs utilizing ECG Buddy.

The Jeju Fire and Safety Headquarters will handle: ▲ ECG measurement and real-time information transmission ▲ Coordination with receiving hospitals. RP Co., Ltd. will be responsible for: ▲ Technical support for ECG analysis devices ▲ System maintenance and service enhancement.

Choi Guk-myeong, Director of Jeju National University Hospital, stated, “This agreement marks a turning point in establishing a technology-based cooperative system to fill essential medical gaps in the Jeju region and save the lives of emergency patients,” adding, “As a regional responsible medical institution, we will play a central role in establishing an emergency medical foundation that residents can trust.”

Jeju National University Hospital plans to analyze future operational results, share relevant information, and pursue continuous improvements to the emergency medical cooperation system based on consultations with participating institutions. <Headline Jeju>

➡️ Read the full article
Source: Headline Jeju (http://www.headlinejeju.co.kr)

","datePublished":"2026-01-29","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":10,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/190","url":"/en/news-media/pr/detail/190","headline":"ECG Enables Faster Triage, Aids ER Clinicians","description":"

ARPI’s ‘ECG Buddy’
Cuts 8 minutes from acute myocardial infarction diagnosis-to-procedure time
‘ECG Buddy’ adopted by over 80 hospitals

Kim Joonghee, professor of emergency medicine at Seoul National University Bundang Hospital and founder of medical AI company ARPI, has developed an electrocardiogram (ECG)-based artificial intelligence reading solution that is driving a revolution in emergency medicine.
Courtesy of Seoul National University Bundang Hospital

In emergency rooms, where a difference of seconds can determine life or death, accurately assessing a patient’s symptoms and starting treatment quickly is critical. In reality, however, emergency departments often lack sufficient resources. To fill this gap, a startup has developed an artificial intelligence (AI) solution that supports emergency room triage based on ECG readings. The company is ARPI, a medical AI firm founded in 2021. ARPI’s “ECG Buddy,” now in place at more than 80 hospitals nationwide, is reshaping emergency room practice. The Korea Focus met with founder Professor Kim Joonghee of the Emergency Medicine Department at Seoul National University Bundang Hospital for details.

➡️ Read the full article

Source: DBR

","datePublished":"2026-01-14","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":11,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/185","url":"/en/news-media/pr/detail/185","headline":"The patient saved by medical AI developed by doctors","description":"

A 67-year-old man entered the emergency room of Bundang Seoul National University Hospital at 10:34 a.m. It was a typical symptom of chest pain. On the ECG test, the machine reading result was ambiguous because it was shown as a 'boundary electrocardiogram'. The medical team operated the artificial intelligence (AI) electrocardiogram analysis system 'ECG Buddy'.

After analyzing even waveform changes that are difficult to identify with the naked eye, AI showed a warning light of \"100% risk\" in four key indicators, including acute coronary syndrome. Two more tests were subsequently performed at 10-minute intervals, but machine readings still failed to provide a clear diagnosis. On the other hand, the risk graph presented by AI did not falter at all from its peak. The emergency room immediately operated the acute myocardial infarction protocol, and A was transferred to the cardiovascular intensive care unit for treatment.

As a result of the procedure, AI's warning was correct. The left anterior descending artery, called the beam of the heart, was on the verge of complete closure. The medical staff immediately performed stent insertion to restore blood flow.

➡️ Read the full article

Source: Maeil Business Newspaper

","datePublished":"2026-01-12","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":12,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/177","url":"/en/news-media/pr/detail/177","headline":"“We Nearly Lost Him… AI Predicted Cardiac Arrest 11 Minutes Early”","description":"

(The following is a translation of the original Korean news article. For the full article in Korean, please see the link below)

A patient who outwardly seemed normal had a hidden danger — detected first by AI.

A man in his 60s visited the emergency room at Seoul National University Bundang Hospital with sudden chest pain. Although his ECG (electrocardiogram) waveform appeared normal at first glance, the emergency physician also ran an AI ECG analysis tool called “ECG Buddy.”

The AI flagged the case as high risk for myocardial infarction (heart attack). The medical team kept a close watch, and soon the patient’s ECG changed as he went into cardiac arrest. Because staff were prepared thanks to the AI alert, they quickly performed CPR and a procedure to reopen blocked coronary arteries, ultimately saving his life. Importantly, the AI alert occurred 11 minutes before the actual crisis.

➡️ Read the full article
Source: Newsis

","datePublished":"2025-10-04","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":13,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/154","url":"/en/news-media/pr/detail/154","headline":"ARPI Signs Strategic Partnership with EZCareTech","description":"

EZCareTech is expanding into the medical artificial intelligence sector. By integrating AI technologies with its core strength in hospital information systems, the company aims to accelerate its transformation into a comprehensive digital healthcare platform provider.

On the 8th, EZCareTech signed a strategic memorandum of understanding (MOU) with medical AI startup ARPI (CEO Kim Joong-hee), and officially announced the partnership on the 9th.

➡️ Read the full article
Source: Medipana News

","datePublished":"2024-05-09","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":14,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/152","url":"/en/news-media/pr/detail/152","headline":"SNU Bundang Hospital Research Team Receives MFDS Approval for AI Model That Analyzes ECG Images via Smartphone","description":"

Seoul National University Bundang Hospital announced on the 5th that a research team led by Kim Joong-hee(Department of Emergency Medicine) and Cho Young-jin (Division of Cardiology) has successfully developed ECG Buddy, a medical AI application that analyzes ECG images captured on smartphones to assess arrhythmias, emergency conditions, and abnormalities in cardiac function. The application has recently received approval from Korea’s Ministry of Food and Drug Safety (MFDS).

In emergency departments, rapid evaluation and intervention are directly linked to patient outcomes. ST-elevation myocardial infarction (STEMI)—the most severe form of myocardial infarction and a leading cause of death among middle-aged adults—requires diagnosis and treatment decisions within 10 minutes. Patients with pulmonary edema must receive diuretics before progressing to respiratory failure, while those with hyperkalemia must be administered calcium before life-threatening arrhythmias occur. In such time-critical scenarios, fast and accurate ECG interpretation is essential.

To read more, click below

➡️ Read the full article
Source: Gyeonggi Newspaper

","datePublished":"2024-03-05","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":15,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/149","url":"/en/news-media/pr/detail/149","headline":"“We Created an AI Companion That Quickly Interprets ECGs for Emergency Patients”","description":"

When a patient suspected of having heart disease arrives at a hospital, medical staff perform an electrocardiogram (ECG). An ECG visualizes the heart’s electrical signals as waveforms, and even experienced specialists may find it challenging to interpret them accurately. This difficulty is compounded in emergency departments, where clinicians must make rapid and precise decisions under extreme time pressure.

Kim Joong-hee, who has served as a professor of emergency medicine at Seoul National University Bundang Hospital since 2014, has encountered such challenges numerous times in real clinical settings.

“In the emergency department, there are many situations where physicians must make decisions on their own,” he explained. “Not having a colleague nearby to consult with was often difficult. I began personally testing an AI-based ECG analysis tool, and the results were very promising. When I wanted to make this tool available to other clinicians, regulatory approval was required—so I decided to establish a company and formally develop the product.”

In July 2021, Professor Kim founded the biotech startup ARPI Inc., having already completed the initial development of ECG Buddy, an AI-powered ECG analysis application. In September, the clinical trial results for ECG Buddy were submitted to Korea’s Ministry of Food and Drug Safety (MFDS). Pending regulatory approval, the application is expected to be commercialized in early the following year….

➡️ Read the full article
Source: The Medical

","datePublished":"2023-11-10","author":{"@type":"Organization","name":"ARPI"}}},{"@type":"ListItem","position":16,"item":{"@type":"Article","@id":"/en/news-media/pr/detail/148","url":"/en/news-media/pr/detail/148","headline":"AI medical startup ARPI wins Pre D.Day X SNU Medicine event","description":"

South Korean startup accelerator D.Camp hosted this year’s last demo day on Saturday in collaboration with Seoul National University’s College of Medicine.

AI-powered medical startup Arpi Inc. won the Pre D.Day X SNU Medicine event, thanks to its ECG Buddy product. The company describes itself as a maker of accurate, robust and practical clinical AI.

➡️ Read the full article here
출처: The Korea Economic Daily

","datePublished":"2022-12-20","author":{"@type":"Organization","name":"ARPI"}}}]}}