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.

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.

The study population ranges from 16 years old to 92 years old, both female and male, who mostly are the elderly.