News organizations may use or redistribute this image, with proper attribution, as part of news coverage of this paper only Fig. 6. Case 1 estimation error of the ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Scientists from Duke-NUS Medical School offer recommendations for using FL frameworks in future clinical research, considering both prediction and non-prediction tasks, data variability, and the ...

This all sounds ludicrous until we realize that our algorithms are increasingly being made in our own image. As we’ve learned more about our own brains, we’ve enlisted that knowledge to create ...

Researchers have unveiled a machine learning-based algorithm that can reduce graininess in low-resolution images and reveal new details that were otherwise buried within the noise. To enter the world ...