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anatomic data

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As used herein, “anatomic data” refers to any data that is identified, collected, measured, generated, estimated, predicted, simulated, or otherwise obtained in connection with an anatomy of a human, animal, or the like, including both raw and derived information. Examples of anatomic data include, without limitation: (i) location data for anatomical structures, either independently or in relation to other structures within a coordinate system; (ii) classification, labeling, or identification data for one or more anatomical structures; (iii) geometric constructs derived from such structures, including points, centroids, lines, curves, axes, planes, or volumes; (iv) quantitative information such as distances, ratios, angles, surface areas, or other measurements between, across, or within structures; and (v) volumetric, material composition, density, or functional data, as well as other physical, biological, or physiological attributes.

Anatomic data may be obtained from, but is not limited to, medical imaging (e.g., radiographs, CT, MRI, fluoroscopy, ultrasound, video, or the like), patient-specific measurements, sensors, monitors, anatomical models, computational simulations, or the like. Such data may be further processed, derived, predicted, or modified using computational algorithms, image processing techniques, artificial intelligence models, machine learning systems, large language models (LLMs), or the like.

Anatomic data may be used to generate, manipulate, modify, or enhance annotated images, annotated video sequences, predictive overlays, or other visualizations that identify, highlight, or measure anatomical structures, features, or relationships.