Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Researchers have created artificial intelligence algorithm that can automatically identify patients at high risk of intentional self-harm, based on the information in the clinical notes in the electronic health record.
Researchers at the Hamlyn Centre, Imperial College London, have introduced a novel tool for generating accurate endoscopic datasets.
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
Scientists and collaborators are using machine learning to address two key barriers to industrialization of two-photon lithography.
A deep learning powered single-strained electronic skin sensor can capture human motion from a distance.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Researchers have developed a new model that accurately and automatically shows the exact location of mandibular canals.
“AI is the biggest technological breakthrough of our lifetime. It will boost the entire healthcare ecosystem and will eventually re-invent the way we deliver medicine entirely.”
An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.
Usind deep learning and digital scanning of conventional hematoxylin and eosin-stained tumor tissue sections, researchers have developed a clinically useful prognostic marker.