Retrospective Study on the Direction of Artificial Intelligence in Identifying Cranial Trauma CT Imaging

Shanghai Jiao Tong University

Status: Active, not recruiting

Conditions: Cerebral Hemorrhage

Study type: Observational

Funder types: Other

Identifiers

NCT06230419

83760142

Details and patient eligibility

About

The goal of this observational retrospective study is to evaluate artificial intelligences (AI)'s proficiency in identifying and annotating brain bleeds in computed tomography (CT) images.

The main questions it aims to answer are:

• Whether AIs at present are capable of analyzing and recognizing cerebral traumas in CT images?
• If they are, how competent are they and how can humans take advantages of that? CT images were selected during the normal diagnosis and treatment process of patients, and no one needed to undergo any additional procedures connected to the study.

Enrollment: 208 patients

Sex: All

Ages: 16 to 92 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• People who had cerebral traumas with brain bleedings shown in CT images.

Exclusion criteria

• Brain bleedings were not clear or representative in CT images.

Trial design

208 participants in 1 patient group

The cerebral trauma group