A Multi-center Study on Artificial Intelligence-Based Quantitative Evaluation of Echocardiography

Condition(s) studied

Study summary

This project aims to collaborate with multiple medical institutions to verify the accuracy, stability, and clinical application value of AI algorithms in echocardiographic quantitative measurement through multi-center clinical research. Specific objectives include:

1. Compare the automatic measurement results of AI with the manual measurement data from physicians of different levels, and analyze the measurement deviation and consistency of AI in key parameters such as intracardiac diameter, volume, and function.
2. Investigate whether AI-assisted measurement can significantly reduce echocardiogram analysis time and optimize clinical workflows. Through multi-center data validation, establish a standardized reference system for AI ultrasound measurement, promote the promotion and application of AI technology in medical institutions at all levels, and reduce diagnostic differences between different hospitals and physicians.
3. Exploring the application of AI in special cases: Assessing the measurement stability of AI algorithms in complex cases (such as cardiomyopathy, valvular disease, coronary heart disease, etc.), and optimizing AI models to meet broader clinical needs.

Eligibility

Primary outcome measure(s)

• The indicators of left ventricular size and function are measured by AI, senior physicians at the PI unit, and intermediate physicians at each sub center respectively (all parameters are measured by Mindray ultrasonic machines on the machine) — Artificial intelligence and intermediate doctors measurement results of each sub center will be completed within one day after data collection. Senior physicians measurement results of PI unit will be completed within one month after data collection.
  Left ventricular end diastolic volume (EDV, ml), end systolic volume (ESV, ml), and ejection fraction (EF, %) (calculated by (EDV-ESV)/EDV\*100% ) in the four chamber view and two chamber view, as well as the Simpson biplane left ventricular volume (ml) and ejection fraction (%) results.
• The indicator of right ventricular function is measured by AI, senior physicians at the PI unit, and intermediate physicians at each sub center respectively (all parameters are measured by Mindray ultrasonic machines on the machine) — Artificial intelligence and intermediate doctors measurement results of each sub center will be completed within one day after data collection. Senior physicians measurement results of PI unit will be completed within one month after data collection.
  Right ventricular area change rate calculated by (EDA-ESA)/EDA\*100%.
• The indicators of right ventricular size are measured by AI, senior physicians at the PI unit, and intermediate physicians at each sub center respectively (all parameters are measured by Mindray ultrasonic machines on the machine) — Artificial intelligence and intermediate doctors measurement results of each sub center will be completed within one day after data collection. Senior physicians measurement results of PI unit will be completed within one month after data collection.
  Right ventricular end diastolic area (EDA) and end systolic area (ESA).

Trial sites (37)

More First Hospital of China Medical University trials in China

Other trials for the same condition