Detect

Heart

failure

by

your

voice

A Powerful, self-serve voice analysis engine to help you detect,
cure, and maintain better health.

PROBLEM

Market Situation

Heart Failure Prevalence: 2.24%, 1.16 million (‘18)

Heart failure is a disease with a high prevalence and mortality rate worldwide, posing a significant burden on patients and healthcare systems due to its high readmission rate. Existing diagnostic methods for heart failure are invasive, costly, and challenging to detect early, making effective management difficult.
  • Mortality Rate
    59%

  • Readmission Rate
    30%

  • Treatment Cost
    8.5 million KRW

Importance of Heart

The Importance of Early Detection for Heart Disease

Heart disease has vague or mild early symptoms, making early detection difficult. If not detected and treated in time, heart diseases such as heart failure and myocardial infarction can lead to death, which is a critical issue as it directly impacts life. Additionally, if heart disease is not properly managed, it can affect other major organs such as the kidneys, liver, and brain, causing systemic damage.
  • Help Us!

  • Golden Time: 4 Minutes

Participate for Trial

Your Cure Agent
Anytime, Anywhere, with Your Voice

A.cure analyzes your voice to detect health issues early. Through AI-based voice analysis technology, it accurately and quickly diagnoses major diseases such as heart failure.
  • 0,0

    Data samples
  • 0

    Heart failure patients
  • 0

    %

    Accuracy
  • 0

    years
    Heart Cure R&D

TECHNOLOGY

Research Outcomes

New Biomarker Discovery: Voice,
awarded 'Best Abstract' at the American Heart Association 2023

A.cure has developed an innovative deep learning AI engine over 2 years and 5 months of intensive research, utilizing data from 112 heart failure patients.
This engine can predict and diagnose critical diseases such as heart failure early through voice analysis.
Core Technology

Development of AI Voice Analysis Technology for Heart Failure Severity Prediction

Talk With A.cure Agent
  • Detect Voice Signal
  • +

  • Analyze Voice
  • =

  • Show Heart Severity

PRODUCT

Predicting health status through voice and connecting to treatment solutions with a cure agent

  • Conversation
    Detecting danger signals through daily conversations with the cure agent
  • Analyzing...
    Analysis
    Analyzing the severity of heart failure through A.cure's voice analysis technology
  • 45%
    Sensed a danger signal.
    Learn more
    Prediction
    Predicting and informing about the severity of pulmonary congestion through voice
  • Treatment
    Connecting to solutions like specialist consultations, medication guidance, exercise, and diet
USE CASE

Maintaining a healthy lifestyle with your cure agent

A.cure's AI engine supports early detection and treatment of various heart diseases, improving patients' quality of life and reducing healthcare costs. A.cure's deep learning AI engine is creating a healthier future through voice analysis.
Pharmaceutical
Monitoring heart failure patients' condition through voice analysis, managing medication prescriptions and dosages
Mobility
Detecting health status and providing guidelines during driving through real-time voice analysis
Telecom
AI speakers listen to daily conversations and analyze voice patterns to detect potential diseases and provide guidance

TEAMS

Composed of top experts in Digital Healthcare, DTX, Medical fields
  • Jung Kyung-ho

    Chief Executive Officer

    Former: Head of DTX at Aimmed

    Former: Head of E-Biz at Hanmi Healthcare

    Led Korea's first DTx, 'Somzz'

    Deputy Director, DTX Subcommittee, Korea Medical Devices Industry Association

    Committee Member, 'Digital Medical Product Regulatory Innovation,' Ministry of Food and Drug Safety

  • Kim Eung-joo

    Chief Medical Officer

    Professor of Cardiology, Korea University Guro Hospital

    Chief of Cardiology, Korea University Guro Hospital

    Former Director, Cardiovascular Center, Korea University Guro Hospital

    Ph.D., Korea University College of Medicine

News

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