If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Novel AI algorithm for digital pathology analysis The framework was able to accurately classify different lung tumors Date: May 23, 2022 Source: Boston University School of Medicine Summary ...

With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.

Researchers at the University of California San Diego have developed a simple yet powerful method to characterize lithium metal battery performance with the help of a widely used imaging tool: ...

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...

A team of researchers at MIT CSAIL, in collaboration with Cornell University and Microsoft, have developed STEGO, an algorithm able to identify images down to the individual pixel.

The method checks battery images to spot problems before failure. Can this simple step change how we build lithium batteries?

Go read this data analysis that uncovers predictive policing’s flawed algorithm A co-reported investigation with Gizmodo and The Markup into PredPol by Jasmine Hicks ... Dec 6, 2021, 1:40 PM PST ...

Mayo Clinic is working with TripleBlind on data analysis and algorithm training to increase interoperability of encrypted algorithms used for private data. The health system is using TripleBlind ...

The new algorithm achieved a sensitivity of 86% and a specificity of 86%, with an overall accuracy of 86% in 949 patients, significantly outperforming joint 2016 guidelines from the American ...