Multi-center Study of Deep Learning AI in Breast Mass

Breast Neoplasms Clinical Trial

Official title: A Multi-center Study of Breast Mass Screening and Diagnosis Using Deep Learning AI-based on Real-time Ultrasound Examination

Status Recruiting

Clinical Trial Summary

This multi-center study intends to evaluate the value of the detection and differential diagnosis of breast mass using deep learning AI-based real-time ultrasound examination.

Clinical Trial Description

As the most common cancer expected to occur all over the world, extensive population screening plays a very important role in the early diagnosis and prognosis of the breast cancer. X-ray and ultrasound are the most commonly used screening methods, and ultrasound is especially important for Asian women with dense breasts. However, ultrasound is greatly affected by the operator's skill and experience, and the diagnostic accuracy varies greatly.

Artificial intelligence (AI) is a new method emerging in recent years, active in many medical fields and can effectively improve the diagnostic efficiency. However, previous researches on the application of AI in ultrasound are focused on single or multi-modality static ultrasound images. This multi-center study intends to evaluate the value of the detection and differential diagnosis of breast mass using deep learning AI-based real-time ultrasound examination. ;

Related Conditions & MeSH terms

• Breast Neoplasms

• NCT number: NCT05443672
• Study type: Observational
• Source: Cancer Institute and Hospital, Chinese Academy of Medical Sciences
• Contact: Yong Wang
• Phone: 13391817899
• Email: drwangyong77@163.com
• Status: Recruiting
• Start date: August 12, 2021
• Completion date: August 31, 2023