Deep learning–based reconstruction (DLR) significantly improved image quality in temporal bone ultrahigh-resolution CT (UHR-CT) for both adult and paediatric protocols, reducing noise and enhancing ...
Researchers used a deep learning AI model to uncover the first imaging-based biomarker of chronic stress by measuring adrenal gland volume on routine CT scans. This new metric, the Adrenal Volume ...
Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: ...
Recent research has focused on multimodal medical image segmentation. A cascaded V-net and H-DenseUNet approach have improved Dice scores, but at the expense of high computational complexity.
A novel AI approach can accurately detect six different types of cancer on whole-body PET/CT scans, according to research presented at the 2024 Society of Nuclear Medicine and Molecular Imaging Annual ...
“We have developed a Pix-2-Pix GAN model to perform attenuation correction on whole-body PSMA [prostate-specific membrane antigen] PET images with 18F-DCFPyL.” “AI-generated PET images has clinical ...
CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC) unveiled three new advanced deep learning image processing and reconstruction solutions as a part of its Effortless Recon DL portfolio at the ...
Neoadjuvant Chemotherapy in Colon Cancer: More Than Just an Optical Illusion In the article that accompanies this editorial, Jemaa et al 12 present a machine learning model for the reading and ...
What if your old chest scans—taken years ago for something unrelated—held a secret warning about your heart? A new AI tool called AI-CAC, developed by Mass General Brigham and the VA, can now comb ...
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