By now the general public has become aware that mobile phone applications, bank security systems and credit card databases are not immune to vulnerabilities; information thefts happen. Some computer scientists now say it's ...
A patient is lying on the operating table as the surgical team reaches an impasse. They can't find the intestinal rupture. A surgeon asks aloud, "Check whether we missed a view of any intestinal section in the visual feed ...
Apr 12, 2023
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Researchers at Penn Medicine and Intel Corporation led the largest-to-date global machine learning effort to securely aggregate knowledge from brain scans of 6,314 glioblastoma (GBM) patients at 71 sites around the globe ...
Dec 5, 2022
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In recent years, scientists have made great strides in their ability to develop artificial intelligence algorithms that can analyze patient data and come up with new ways to diagnose disease or predict which treatments work ...
Oct 7, 2022
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Scientists have created a 'digital mask' that will allow facial images to be stored in medical records while preventing potentially sensitive personal biometric information from being extracted and shared.
Sep 15, 2022
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Scientists may better understand and test for the genetic variations that cause cancer and other heritable diseases through the application of a novel strategy for securely sharing and analyzing genomic data developed at ...
Mar 9, 2022
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Confusion and ambiguity in how U.S. patients and researchers perceive genetic privacy is uncovered by a study published October 31, 2018 in the open-access journal PLOS ONE by Ellen W. Clayton from Vanderbilt University and ...
Oct 31, 2018
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For millions of people, smartwatches aren't just a piece of technology. They can use them to take control of their health in ways never thought possible.
Feb 26, 2024
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Privacy concerns are common among users of Finland's national patient portal OmaKanta, a recent study by the University of Eastern Finland and the Finnish Institute for Health and Welfare shows. As many as one in three users ...
Jan 18, 2024
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Locally run large language models (LLMs) may be a feasible option for extracting data from text-based radiology reports while preserving patient privacy, according to a new study from the National Institutes of Health Clinical ...
Oct 10, 2023
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