[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.

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 ...

Algorithms based on deep learning can detect tumors. News . Published: January 2, 2025 ... Fabritius MP, et al. Results from the autoPET challenge on fully automated lesion segmentation in oncologic ...

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 ...

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 ...

Prof. Hengyong Yu of the Department of Electrical and Computer Engineering has been awarded a four-year, $2.3 million grant by the National Institutes of Health’s National Institute of Biomedical ...