Ovarian cancer is relatively rare but fatal with an annual incidence rate of 11.8 per 100 000 and a high mortality-to-incidence ratio of \>0.6. The modest diagnostic accuracy of TVU has risen some concerns about the over-treatment.Now, with the development of artificial intelligence (AI), we may have a better chance to interpret TVU imagines with high efficiency, reproducibility and accuracy.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Enrollment
10,000
AI Enabled Transvaginal Ultrasound diagnosis for ovarian cancer
diagnostic accuracy
diagnostic accuracy comparison between Transvaginal Ultrasound diagnosis with and without Artificial Intelligence algorithm for ovarian cancer
Time frame: 2 years
time cost for Transvaginal Ultrasound image interpretation
time cost for radiologists to interpret Transvaginal Ultrasound images
Time frame: 2 years
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