Search Results - health+it

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Artificial Image Objects (AIO) for Disease Diagnosis and Risk Management
To identify a specific biological trait from a large volume of genetic and other biological omics data, UTHealth researchers developed a general method to transform the biological data into artificial image objects (AIO). The artificial intelligence (AI)-assisted analysis of AIOs based on image classification can quickly determine the presence of different...
Published: 11/2/2023   |   Inventor(s): Xiangning Chen
Keywords(s):  
Category(s): Software, Health IT
Method for Matrix Computation with Homomorphic Encryption
­Researchers have developed a general method based on homomorphic encryption for performing computations on sensitive data while guaranteeing privacy. More specifically, this secure matrix operation framework can protect data privacy or trade secret that have a sensitive nature, and have potential applications in Healthcare IT and Financial Section. Background...
Published: 8/15/2023   |   Inventor(s): Xiaoqian Jiang
Keywords(s):  
Category(s): Software, Health IT
Acute Stroke Treatment Eligibility with AI and Stroke Imaging
Determining if a patient can benefit from acute stroke treatments (endovascular thrombectomy and late window thrombolysis) relies on the use of advanced imaging modalities such as CT Perfusion (CTP) or MRI, which are not available at the majority of community hospitals and primary stroke centers. Transferring all patients who could potentially need...
Published: 8/15/2023   |   Inventor(s): Luca Giancardo, Sunil Sheth
Keywords(s):  
Category(s): Health IT, Software
Endovascular Aneurysm Coil Comparison
Background:About 30,000 people suffer a brain aneurysm rupture each year in the U.S. alone. These rupture events result in death in about 40% of cases. Of those who survive, about 66% suffer some permanent neurological deficit. Treatment of aneurysm is most commonly treated by endovascular coiling, a less invasive treatment as compared to clipping,...
Published: 8/15/2023   |   Inventor(s):  
Keywords(s):  
Category(s): Software, Health IT
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