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 ...

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 ...

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: ...

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 ...

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.

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 ...

“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 ...

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 ...