Integrating imaging with deep neural networks
Neural network framework may increase radiologist's confidence in assessing the type of lung cancer on CT scans, informing individualized treatment planning.
Neural network framework may increase radiologist's confidence in assessing the type of lung cancer on CT scans, informing individualized treatment planning.
Researchers used nanophotonic technology to develop a brain-implantable tool that can aid in the optical imaging of brain activity.
Development of smartphone-based imaging systems for medicine and healthcare can be optimized by newly published guidelines for holistic assessment.
Deep learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Researchers studied gaming data from the mobile game and found out that it can detect people at risk of Alzheimer’s.
Researchers announce critical advances in the use of 3D-printed coronary phantoms with diagnostic software, further developing a non-invasive diagnostic method for Coronary Artery Disease risk assessment.
Baseline study using data from the Sea Hero Quest game identifies key findings for dementia research.