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Solving the Data Access Challenge in Healthcare AI Using Confidential Computing

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Solving the Data Access Challenge in Healthcare AI Using Confidential Computing

Many companies claim to provide secure environments for developing artificial intelligence-based algorithms and models for healthcare use. But the pace of development has remained painfully slow. A major challenge is that most algorithm developers only have access to limited, often narrow datasets to validate and train their models. As a result, the models are not generalizable across different clinical settings.

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