Objectives: Electronic health record (EHR) systems are central to modern practice yet contribute to physician workload and burnout. Metrics such as documentation timeliness, efficiency, and ...
Place of work: Aalto University, Computer Science building, room A238 ...
Default v2 support with full backward compatibility Optional v3 support with automatic parameter conversion Automatic base_id resolution for v3 API Transparent pagination, sorting, and operator ...
Abstract: Methods for unsupervised domain adaptation (UDA) help to improve the performance of deep neural networks on unseen domains without any labeled data. Especially in medical disciplines such as ...
Modern economies run on networks that are expected to be always on, always secure, and increasingly autonomous. Hospitals rely on them for connected medical dev ...
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