FF Swin-Unet: a strategy for automated segmentation and severity scoring of NAFLD Non-alcoholic fatty liver disease (NAFLD) is a significant risk factor for liver cancer and cardiovascular diseases, imposing substantial social and economic burdens. Computed tomography (CT) scans are crucial...
https://bmcmedimaging.biomedce....ntral.com/articles/1

An integrated strategy based on radiomics and quantum machine learning: diagnosis and clinical interpretation of pulmonary ground-glass nodules Accurate classification of pulmonary pure ground-glass nodules (pGGNs) is essential for distinguishing invasive adenocarcinoma (IVA) from adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA...
https://bmcmedimaging.biomedce....ntral.com/articles/1

RADVOCACY Podcast Hosted by RADPAC featuring Dillon Harp, ACR Senior State Government Relations S... https://www.youtube.com/watch?v=DAnUm3EPOzs

A machine learning model reveals invisible microscopic variation in acute ischaemic stroke (≤ 6 h) with non-contrast computed tomography In most medical centers, particularly in primary hospitals, non-contrast computed tomography (NCCT) serves as the primary imaging modality for diagnosing acute ischemic stroke. However, due to the small densit...
https://bmcmedimaging.biomedce....ntral.com/articles/1

Feasibility study of “double-low” scanning protocol combined with artificial intelligence iterative reconstruction algorithm for abdominal computed tomography enhancement in patients with obesity To evaluate the efficacy of the “double-low” scanning protocol combined with the artificial intelligence iterative reconstruction (AIIR) algorithm for abdominal computed tomography (CT) enhancement in obese pa...
https://bmcmedimaging.biomedce....ntral.com/articles/1