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PhthisisBioMed Artificial Medical Intelligence: Software for Automated Analysis of Digital Chest X-ray/Fluorograms
Y T Gogoberidze1, V I Klassen2, M Y Natenzon3
1Senior Development Engineer; PhthisisBioMed LLC, 135 Karla Marksa St., Chistopol, Republic of Tatarstan, 422980, Russia.
Sovremennye Tekhnologii V Meditsine
|March 4, 2024
Summary
Artificial intelligence (AI) is revolutionizing medical diagnostics. The PhthisisBioMed AI service demonstrated high reliability and sensitivity in clinical trials, improving diagnostic efficiency in healthcare.
Area of Science:
- Medical diagnostics
- Artificial intelligence in healthcare
- Radiology
Background:
- Increasing scope of diagnostic medical examinations necessitates new technologies.
- Artificial intelligence (AI) algorithms offer promising solutions for medical data analysis.
- A three-year Moscow experiment (since 2020) focused on AI implementation in regional healthcare.
Purpose of the Study:
- To share experience in developing a medical AI service (PhthisisBioMed).
- To evaluate the application of PhthisisBioMed AI in real clinical settings.
- To assess the quality and reliability of the AI service.
Main Methods:
- Development of the PhthisisBioMed AI service.
- Clinical trials on a verified dataset (n=1536) considering thoracic disease prevalence.
- Technological monitoring for quality and reliability assessment.
Main Results:
- PhthisisBioMed AI service demonstrated high quality and reliability.
- Mean sensitivity of the service was 0.975 (95% CI: 0.966-0.984).
- The AI service is registered as a medical device and actively used in the Russian Federation.
Conclusions:
- PhthisisBioMed AI service effectively aids in diagnosing thoracic diseases.
- The AI tool reduces radiologist workload and accelerates medical report generation.
- Successful implementation of AI in clinical practice enhances diagnostic capabilities.
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