[4] Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. Nature Machine Intelligence (2019).

Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...

A deep learning–based reconstruction algorithm significantly enhances temporal bone UHR-CT image quality, reducing noise and improving diagnostic precision, a study finds.

Algorithms based on deep learning can detect tumors Date: January 3, 2025 ... The aim is to fully automate the analysis of medical PET and CT image data in the near future. RELATED TOPICS. Health ...

MUNGKHOOD STUDIO // ShutterstockHow artificial intelligence is transforming medical imagingA decade ago, deep learning prototypes wowed conferences but rarely touched patients. By June 2025, 777 ...

GE HealthCare (Nasdaq: GEHC) has topped a U.S. Food and Drug Administration (FDA) list of AI-enabled medical device authorizations for the fourth year in a row with 100 listed authorizations to date ...

CHICAGO, December 05, 2024--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 ...

However, this can result in having too few images or low-dose X-ray images to work with, which can lead to problems in image reconstruction. Yu’s goal is to develop deep-learning algorithms and ...