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Putting a Halt to the Insanity Surrounding Data Access for Healthcare AI Development & Deployment

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Given the data access challenges, it is not surprising that many AI algorithms have performance problems. We have all seen the articles that highlight inherent biases in data that reduce the accuracy of healthcare AI models, lack of generalizability, as well as issues with algorithm drift when the models are exposed to new data. At BeeKeeperAI, we are developing innovative tools for healthcare artificial intelligence lifecycle management that will ultimately improve patient outcomes and reduce t…

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Securing Healthcare AI with Confidential Computing

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The following guest post is re-posted with permission from Richard Searle, Customer Solutions Director, Fortanix.

Contextual Focus on Healthcare

The events of 2020 have placed healthcare and medical research at the forefront of public discourse and topical interest. The quest for an effective vaccine to counter the severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) virus and its manifestation in the disease COVID-19 has introduced sampling, statistical analysis, and the r…

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