
RSNA Abdominal Trauma Detection (RSNA-ABT)
Provided by: Radiological Society of North America (https://www.rsna.org/ ), part of the AWS Open Data Sponsorship Program
Provided by: Radiological Society of North America (https://www.rsna.org/ ), part of the AWS Open Data Sponsorship Program

RSNA Abdominal Trauma Detection (RSNA-ABT)
Provided by: Radiological Society of North America (https://www.rsna.org/ ), part of the AWS Open Data Sponsorship Program
Provided by: Radiological Society of North America (https://www.rsna.org/ ), part of the AWS Open Data Sponsorship Program
This product is part of the AWS Open Data Sponsorship Program and contains data sets that are publicly available for anyone to access and use. No subscription is required. Unless specifically stated in the applicable data set documentation, data sets available through the AWS Open Data Sponsorship Program are not provided and maintained by AWS.
Description
Blunt force abdominal trauma is among the most common types of traumatic injury, with the most frequent cause being motor vehicle accidents. Abdominal trauma may result in damage and internal bleeding of the internal organs, including the liver, spleen, kidneys, and bowel. Detection and classification of injuries are key to effective treatment and favorable outcomes. A large proportion of patients with abdominal trauma require urgent surgery. Abdominal trauma often cannot be diagnosed clinically by physical exam, patient symptoms, or laboratory tests. Prompt diagnosis of abdominal trauma using medical imaging is thus critical to patient care. AI tools that assist and expedite diagnosis of abdominal trauma have the potential to substantially improve patient care and health outcomes in the emergency setting. To create the ground truth dataset, RSNA collected imaging data sourced from 23 sites in 14 countries on six continents, including more than 4,000 CT exams with various abdominal injuries and a roughly equal number of cases without injury.
License
You may access and use these de-identified imaging datasets and annotations (“the data”) for non-commercial purposes only, including academic research and education, as long as you agree to abide by the following provisions: Not to make any attempt to identify or contact any individual(s) who may be the subjects of the data. If you share or re-distribute the data in any form, include a citation to the “Brain CT Hemorrhage Dataset, Copyright RSNA, 2019” as follows: Flanders AF, et al. The RSNA Brain CT Hemorrhage Dataset [10.1148/ryai.2020190211]. Radiology: Artificial Intelligence 2020;2:3.
How to cite
RSNA Abdominal Trauma Detection (RSNA-ABT) was accessed on DATE
from https://registry.opendata.aws/rsna-abdominal-trauma-detection .
Update frequency
The dataset may be updated with additional or corrected data on a need-to-update basis.
Support information
Managed by: Radiological Society of North America (https://www.rsna.org/ )
Contact: informatics@rsna.org
General AWS Data Exchange support
Resources on AWS
Description
Zip archive containing DCM and CSV files
Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::abdominal-trauma-detection
AWS Region
us-west-2
Controlled access
Usage examples
Publications
- The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset by Rudie, Jeffrey D.