High technical requirements

The screening process of handheld ultrasound relies on the clinical experience and professional judgment of physican and also has standardlized scanning process, which results in uncontrollable scan quality, scan volume and also increases resource and labor costs .

Patient loss

Taking breast surgery as an example, even if a lump is discovered by palpation during outpatient service, if the patient has to wait for more than 2 weeks to be scheduled by the imaging examination unit, the patient will be transferred to other hospitals for examination .

The subjectivity of image interpretation

Interpretation of ultrasound images is affected by doctors' subjective judgment and experience. Different doctors may have different interpretations, which may lead to variability in results  .

work fatigue

When doctors write reports, The large number of reports can easily cause work fatigue and affect their judgment .

Close to clinical practice

Standardizing the handheld ultrasound scanning process, increases scanning capacity while ensuring image quality, it can be reduced the need for technicians/physicians to have professional experience effectively, thereby reducing resource and labor costs .

Credibility

AI model is trained using pathologically cases and clinically test which can be improved the sensitivity and specificity of lesion detection and diagnosis effectively .

Intelligent Screening

Through big data analysis of a large amount of clinical data and patient information, AI can predict disease risks and take preventive measures early, helping to reduce the incidence of diseases and improve patients' quality of life .

Decision support

AI can assist doctors in providing effective detection and diagnostic comments, helping them make more informed clinical decisions, thus improving the accuracy and effectiveness of treatment .