We should embrace innovation and technology that is available to maximize quality patient care, one Mount Sinai doctor said.

Mount Sinai pilots detect fetal heart issues using FDA-approved AI, improving congenital defect detection and reducing ultrasound reading time.

Qii.AI, a global leader in providing AI-enabled, computer vision and data management software solutions for asset management and digital inspections, has today announced the release of its Road Defect ...

This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...

Doctors in the Raquel and Jaime Gilinski Department of Obstetrics, Gynecology and Reproductive Science at Mount Sinai have become the first in New York City to implement an artificial intelligence (AI ...

Teledyne DALSA introduces its Linea ML 8k multispectral CLHS line scan camera for improved defect detectability with a single scan. Teledyne DALSA, a Teledyne Technologies [NYSE:TDY] company, is ...

On the technology spectrum, railroads would certainly seem to skew toward the brutally simplistic side of things. A couple of strips of steel, some wooden ties and gravel ballast to keep everything in ...

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...