Search Results 31-40 of 5175 for prediction tools
... tools that enable the detection and prediction of diseases using cardiac biosignals ... In his research, he uses machine learning to develop tools that enable the ...
The tools guide shared decisions about the timing of therapies, but these tools have limitations. ... The ECG-AI to predict coronary artery disease was ...
The Mayo Clinic Kern Center for the Science of Health Care Delivery's Clinical Data Science Program creates tools for fast, efficient integration of data ...
Accurate prognostic tools are essential for clinicians to identify patients at high risk of death and determine appropriate treatment. At least four prognostic ...
With artificial intelligence (AI) and other mathematical modeling methods, she's getting to know glioblastoma at a whole new level — its texture, density, ...
Maurer also develops risk prediction models and data-driven clinical tools for predicting therapy selection. He improves clinical trial design and ...
Mayo Clinic has developed ECG-AI algorithms that are currently used in research to predict a patient's likelihood of having heart conditions like atrial ...
... methods to study pleiotropic genetic effects, polygenic risk prediction, gene-environment interaction analysis, sex chromosome analysis and data integration ...
In this example, an informatics tool ... These measurements help predict people's risk of ... It can use external deep-learning tools that can produce segmentations ...
... prediction. These deep neural networks analyze ... tools can also be trained to perform the following tasks: ... Having well-annotated datasets that can be used to ...
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