U.S., May 23 -- ClinicalTrials.gov registry received information related to the study (NCT07605195) titled 'Research on the Whole-Process Intelligent Diagnosis and Treatment of Digital Breast Tomosynthesis Based on Deep Learning' on April 27.
Brief Summary: This study aims to construct a multi-task deep learning model system to mine deep features in DBT images, so as to achieve accurate detection of breast lesions, differential diagnosis of benign and malignant (especially for the challenging BI-RADS 4A category), prediction of molecular subtypes, and evaluation of neoadjuvant chemotherapy (NAC) efficacy, providing an imaging basis for precision medicine.
Study Start Date: May 20
Study Type: INTERVENTIONAL
Condition:
Breast Carcinoma
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