Using Artificial Intelligence to Predict Rectal Cancer Outco... | Clinical Trial | StuddyBuddy@endsection Using Artificial Intelligence to Predict Rectal Cancer Outcomes
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Completed NCT05723965

Using Artificial Intelligence to Predict Rectal Cancer Outcomes

Conditions: Rectal Cancer Stage III

Sex: All
Ages: 20 Years – 100 Years
Enrollment: 720
Sponsor: Taichung Veterans General Hospital

Location: Taiwan

Summary

Investigator retrospective collect cases during 2010-2021 diagnosed as rectal adenocarcinoma with high quality CT images. Local advanced rectal cancer cases were labeled as "disease". Nor were defined " normal".Using artificial intelligence CNN on jupyter notebook with open phyton code to train and develop models capable to recognizing local advanced rectal cancer. Modify the phyton code for better predict rate and help physician to quickly evaluate disease severity for fresh rectal cancer cases.

Eligibility Criteria

Inclusion Criteria:clinical staging T3-4 with high quality CT images.Exclusion Criteria:1. not primary malignancy lesion2. not localizing rectum3. T1-2 lesion4. non contrast or poor quality images

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View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT05723965). StuddyBuddy aggregates publicly available trial information.