AI-Powered Expert System for Early Diagnosis of Acute Coronary Syndrome

Advanced artificial intelligence technology to save lives at the primary healthcare level

Key Challenges

"GOLDEN HOUR"

Need for emergency hospitalization within 12 hours from symptom onset to prevent irreversible damage

"REMOTE AREAS"

Lack of access to high-tech medical centers in rural and underserved regions

"HUMAN FACTOR"

Subjectivity in patient assessment and shortage of qualified medical professionals

"PRIMARY CARE"

Insufficient staffing with qualified healthcare workers at the first point of contact

How It Works

1

Self-Assessment

27 parameters are entered: date of birth, gender, height, weight, blood type, lifestyle habits, exercise routine, previous illnesses, family medical history, symptoms, and chest pain description

  • Designed for non-medical users
  • Assessment time: 1-3 minutes
  • No special equipment required
2

Primary Assessment

22 additional parameters: pulse palpation, blood pressure, obesity presence, skin coloration, electrocardiography data, and more

  • For medical personnel
  • Assessment time: 10-15 minutes
  • Requires ECG interpretation skills
3

Specialized Assessment

20 specialized parameters: echocardiography results, complete blood count, biochemical analysis, chest X-ray, coronary angiography, and more

  • For emergency cardiology departments
  • Establishing precise diagnosis
  • Confirming results from previous stages

Numbers & Facts

1200+
Patients in training dataset
88%
System sensitivity
89%
System specificity
3000+
Medical records for AI training

Research Results

Emergency Medical Services Study

Group 1: 41 patients, aged 42-85 years (average age 60.6 ± 0.1 years)

All patients sought help for "chest pain syndrome" or dyspnea (shortness of breath)

Testing with SkyoriKardio was conducted only at the first stage "Self-Assessment"


Hospital-Based Study (Control Group)

Group 2: 30 patients (24 men and 6 women), aged 46-83 years (average age 60.7 ± 0.1 years), patients from the Acute Coronary Syndrome Department of GAUZ PK GKB No. 4, Perm

Out of 30 patients with MI and UA, SkyoriKardio demonstrated absolute effectiveness, identifying even more diagnostically complex cases: cardiac arrhythmia and acute left ventricular failure

Diagnostic Efficiency Comparison
ACS, Hospitalization
Non-ACS, Outpatient Care
SkyoriKardio
Traditional Methods

Why Trust SkyoriKardio

Artificial Intelligence

Diagnosis and prognosis are performed by AI trained on medical histories of over 3000 cardiology patients

Comprehensive Approach

Considers wide range of individual parameters: genetic and hereditary factors, lifestyle and environmental conditions

Proven Effectiveness

Successfully completed comprehensive testing and pilot implementation in multiple medical centers

Expert Recognition

Recognized by the medical community led by the President of the Russian Scientific Medical Society of Therapists, Academician of RAS A.I. Martynov

Ready to Improve Diagnosis in Your Facility?

Contact us for more information and to arrange a demonstration of the SkyoriKardio system

Contact Us