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...The clinical release includes additional features for controlled experimentation, such as logging capabilities, adjustable parameter sets, and protocols suitable for sleep studies and therapeutic settings. It also integrates tools for clinicians to configure sessions, annotate events, and potentially link with biofeedback data, enabling a more nuanced understanding of sound’s effect on sleep architecture over time.
...These transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity (bias) or k-space motion artifacts. TorchIO is a Python package containing a set of tools to efficiently read, preprocess, sample, augment, and write 3D medical images in deep learning applications written in PyTorch, including intensity and spatial transforms for data augmentation and preprocessing. Transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity.
Tools for ICD (International Classification of Diseases) data
Currently implemented:
Python parser to import ICD10 XML data into a relational PostgreSQL database
Sponsored by Ordium Biotechnology
https://ordium.ai
MIT License
The Wedgetail project provides the basis for a shared electronic health record. The project provides a schema for an SQL implementation of a sharedEHR, as well as the tools required to interact securely with the database.
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