Explore these press releases that highlight some of the innovative medical imaging research and new technologies that are being presented at RSNA 2023. Press releases are distributed to the media throughout the week to increase public awareness of radiology and its role in personal health care. To read all the releases distributed during the week, visit RSNA.org/Media.
AI May Aid in Diagnosing Adolescents with ADHD
Using AI to analyze specialized brain MRI scans of adolescents with and without attention-deficit/hyperactivity disorder (ADHD), researchers found significant differences in nine brain white matter tracts in individuals with ADHD. The study applied deep learning to identify markers of ADHD in the multi-institutional Adolescent Brain Cognitive Development (ABCD) Study, which includes brain imaging, clinical surveys and other data on over 11,000 adolescents from 21 research sites in the U.S.
Common Headaches Tied to Neck Inflammation
Researchers have identified objective evidence of how the neck muscles are involved in primary headaches. However, no objective biomarkers exist for myofascial involvement in these headaches. The researchers investigated the involvement of the trapezius muscles in primary headache disorders by MRI and explored associations between muscle T2 values and headache and neck pain frequency.
AI Model Predicts Breast Cancer Risk Without Racial Bias
A deep learning AI model was developed using only mammogram image biomarkers to accurately predict both ductal carcinoma in situ (DCIS) and invasive carcinoma. To accurately determine breast cancer risk, foster early detection and improve patient survival rates, it is important that risk models are developed that are applicable across different populations. The study sought to assess the performance of an image-based deep learning risk assessment model in predicting both future invasive breast cancer and DCIS across multiple races.
