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Trial Title: KNUCH CadAI-B-1(KCB-1)

NCT ID: NCT06622967

Condition: Breast Neoplasm
Female

Conditions: Official terms:
Breast Neoplasms

Conditions: Keywords:
breast neoplasm
ultrasound

Study type: Interventional

Study phase: N/A

Overall status: Active, not recruiting

Study design:

Allocation: N/A

Intervention model: Single Group Assignment

Primary purpose: Diagnostic

Masking: None (Open Label)

Intervention:

Intervention type: Diagnostic Test
Intervention name: CadAI-B
Description: The ultrasound is performed following the usual process. If there are any lesions or areas of concern identified by the patient, a more detailed analysis is conducted on the affected area. When a lesion is confirmed, the examiner verifies the results through the frozen image, while also securing the results displayed on CadAI-B. The examiner uses the analysis from CadAI-B as a reference to make the final BI-RADS classification. Static images and cine clips are captured from the most suspicious areas.
Arm group label: CadAI-B intervention group

Summary: The CadAI-B (Computer Aided Design Artificial Intelligence-Breast) system is a real-time AI diagnostic tool for breast ultrasound. It integrates with ultrasound devices to detect suspicious lesions, providing size, BI-RADS, and malignancy probability. After installation and user training, the system displays real-time breast conditions and automatically analyzes lesions when a freeze frame is set, showing results in seconds. This study will assess CadAI-B's accuracy and reliability by comparing its findings with biopsy results.

Criteria for eligibility:
Criteria:
Inclusion Criteria: - Women aged 20 years or older - Individuals scheduled to undergo breast ultrasound for diagnostic evaluation - Patients whose Ground Truth can be determined through biopsy, surgery, or follow-up Exclusion Criteria: - Images containing artifacts that may affect the interpretation - Presence of breast implants - Significant breast trauma or mastitis at the time of the breast ultrasound that could cause distortion in image interpretation - History of surgery or chemotherapy

Gender: Female

Gender based: Yes

Gender description: Only female

Minimum age: 20 Years

Maximum age: N/A

Healthy volunteers: No

Locations:

Facility:
Name: Kyungpook National University Chilgok Hospital

Address:
City: Daegu
Country: Korea, Republic of

Start date: September 15, 2024

Completion date: December 31, 2024

Lead sponsor:
Agency: JeeYeon Lee
Agency class: Other

Collaborator:
Agency: Kyungpook National University Chilgok Hospital
Agency class: Other

Collaborator:
Agency: BeamWorks Inc.
Agency class: Industry

Source: Kyungpook National University Chilgok Hospital

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT06622967

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