by The Mount Sinai Hospital Mount Sinai scientists created an AI-based, automated system that learns to read patient data from electronic health records. Here the system identified dementia cases (purple dots) from a database of nearly 2 million patients (blue dots). Credit: Glicksberg lab, Mount Sinai, N.Y., N.Y. In an article published in the journal Patterns, scientists...
BOSTON – Fast and accurate clinical assessment of the disease progression and mortality is vital for the management of COVID-19 patients. Although several predictors have been proposed, they have been limited to subjective assessment, semi-automated schemes, or supervised deep learning approaches. Such predictors are subjective or require laborious annotation of training cases. In a multi-center study...
by Elizabeth Fernandez, University of California, San Francisco Credit: Pixabay/CC0 Public Domain Clinicians rely daily on electrocardiograms (ECG) to detect common cardiovascular conditions, but accurate diagnoses require high levels of expertise. In a new study that reviewed nearly 1 million ECGs from 365,000 adults, an artificial intelligence algorithm exceeded the performance of a widely available commercial...
by Johns Hopkins University DELFI blood test identifies lung cancer using artificial intelligence to detect unique patterns in the fragmentation of DNA shed from cancer cells compared to normal profiles. Credit: Carolyn Hruban A novel artificial intelligence blood-testing technology developed by researchers at the Johns Hopkins Kimmel Cancer Center was found to detect over 90% of...
by Dresden University of Technology Artificial polymer-based neural network. The strongly nonlinear behavior of these networks enables their use in reservoir computing. Credit: TUD Artificial intelligence (AI) will fundamentally change medicine and healthcare: Diagnostic patient data, e.g. from ECG, EEG, or X-ray images, can be analyzed with the help of machine learning so that diseases can...
by Maxine Myers, Imperial College London Credit: CC0 Public Domain In a clinical trial of 113 patients led by researchers at Imperial College London and UCL, retinal imaging technology called Detection of Apoptosis in Retinal Cells (DARC) was able to identify areas of the eye that were showing signs of geographic atrophy (GA) – a common condition that...
By examining MRI data from a large Open Science repository, researchers reconstructed a brain connectivity pattern and applied it to an artificial neural network (ANN). An ANN is a computing system consisting of multiple input and output units, much like the biological brain. A team of researchers from The Neuro (Montreal Neurological Institute-Hospital) and the Quebec Artificial...
TERASAKI INSTITUTE FOR BIOMEDICAL INNOVATION (LOS ANGELES) –Medical imaging has long been a vital tool for the diagnosis and prognostic assessments of many diseases. In recent years, the use of artificial intelligence models has been used in conjunction with this imaging to augment their diagnostic capabilities. By using these models, some features can be extracted...
During its early stages, diabetes can affect the eyes before the changes are detectable with a regular clinical examination. New research shows these changes can be measured earlier than previously thought with specialized optical techniques and computer analysis. The ability to detect biomarkers for this sight-threatening condition may lead to the early identification of people at risk...
by Patrick Galey Unlike the genome—the complete sequence of human genes that encode cellular life—the human proteome is constantly changing. Scientists on Thursday unveiled the most exhaustive database yet of the proteins that form the building blocks of life, in breakthrough observers said would “fundamentally change biological research”. Every cell in every living organism is triggered to...
