Is the ai tester accurate?

The accuracy of an ai tester depends on the specific application scenario and device type. ‌
Different types of ai testers and their accuracy
Medical grade equipment, such as hospital electrocardiographs, blood pressure monitors, etc., require strict certification, have a small range of data errors, and are suitable for disease diagnosis. They have high accuracy, but there are certain requirements for operation and usage environment.
Consumer grade products, such as heart rate bracelets, body fat scales, etc., focus on convenience, and the data is mostly trend reference, which may result in bias in a single measurement. For example, optical heart rate monitoring is easily affected by skin temperature and wearing tightness, while a body fat scale calculates body fat percentage through bioelectrical impedance, but the results are affected by factors such as drinking water and exercise.
Accuracy performance in specific application scenarios
Lie detector: Studies have shown that artificial intelligence based lie detector tools have an accuracy rate of up to 67%, significantly higher than the human average (50%). This tool performs well in identifying lies, but attention should be paid to its potential impact on behavior when using it.
Relay tester: In the self calibration method of relay testers, the application of artificial intelligence can improve calibration accuracy and efficiency, reduce operation and maintenance costs, and improve the service life and intelligence level of equipment.