EXR: An Interactive Immersive EHR Visualization in Extended Reality
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Abstract (arXiv)
This paper presents the design and implementation of an Extended Reality (XR) platform for immersive, interactive visualization of Electronic Health Records (EHRs). The system extends beyond conventional 2D interfaces by visualizing both structured and unstructured patient data into a shared 3D environment, enabling intuitive exploration and real-time collaboration. The modular infrastructure integrates FHIR-based EHR data with volumetric medical imaging and AI-generated segmentation, ensuring interoperability with modern healthcare systems. The platform's capabilities are demonstrated using synthetic EHR datasets and computed tomography (CT)-derived spine models processed through an AI-powered segmentation pipeline. This work suggests that such integrated XR solutions could form the foundation for next-generation clinical decision-support tools, where advanced data infrastructures are directly accessible in an interactive and spatially rich environment.
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References · 15
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
- 2017Mask R-CNNcited by 7,277
- 2016V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentationcited by 2,292
- 2021TransUNet: Transformers Make Strong Encoders for Medical Image Segmentationcited by 1,558
- 2021Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentationcited by 1,222
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- 2022Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Imagescited by 830
- 2020VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Imagescited by 111
- 2024EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Recordscited by 78
- 2019Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localizationcited by 77
- 2018Iterative fully convolutional neural networks for automatic vertebra segmentation and identificationcited by 25
- 2022Artificial Intelligence-Based Methods for Fusion of Electronic Health Records and Imaging Datacited by 18
3 more
- 2024SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentationcited by 9
- 2024A Comprehensive Review of Multimodal XR Applications, Risks, and Ethical Challenges in the Metaversecited by 4
- 2024AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentationcited by 3
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