Cataract-LMM is an enterprise-grade AI framework designed for large-scale, multi-center surgical video analysis. Built on modern software engineering principles, this repository provides ...

The STAC Machine Learning Model (MLM) extension provides a standard set of fields to describe machine learning models trained on overhead imagery and enable running model inference. The main ...

Sleep is known to be an important time for consolidating our memories, with memory systems in the brain replaying recent memories and stabilizing them for long-term storage. We present a computational ...

Spontaneous, task-free, hemodynamic activity of the brain provides useful information about its functional organization, as it can describe how different brain regions communicate to each other.

Classification of electroencephalogram (EEG) is a key approach to measure the rhythmic oscillations of neural activity, which is one of the core technologies of brain-computer interface systems (BCIs) ...

Background and Purpose— There is increasing interest in the potential benefits of circuit class training after stroke, but its effectiveness is uncertain. Our aim was to systematically review ...