[h3]The summer update introduces important features to improve medical imaging and anatomical education. The highlight of this update is Anatomy Master 2, a detailed 3D human anatomy atlas designed for use in virtual and augmented reality. This update also includes extended cloud segmentation with MONAI Model Zoo, enhanced AI visualization tools, and various new functionalities to streamline workflows and improve user interaction. [/h3] [previewyoutube=4qTx2w66aTY;full][/previewyoutube] [h2]Anatomy Master 2[/h2] [url=https://www.medicalholodeck.com/en/human-anatomy-atlas-anatomy-master-2/]Anatomy Master 2[/url] is now included on standalone devices, PC VR, and Cloud Rendering. Designed for beginners and entry-level learners, these models provide a detailed and realistic view essential for comprehensive understanding. [url=https://www.medicalholodeck.com/en/human-anatomy-atlas-anatomy-master-2/]Anatomy Master 2[/url] offers an interactive and efficient way to learn human anatomy, surpassing traditional screen-based methods and textbooks. Users can walk around, enlarge, dissect, and create cross-sectional views of 3D models for a comprehensive study from any angle. [h2]AI Segmentation [/h2] [h3]Pancreas & Pancreatic Tumor, Prostate & Spleen[/h3] Benefit from the advanced segmentation capabilities of [url=https://www.medicalholodeck.com/en/AI-automatic-segmentation-medical-imaging-augmented-virtual-reality/]Medicalholodeck AI[/url], offering precise and detailed analysis for various medical imaging modalities. These models enable accurate imaging, supporting users in identifying and analyzing specific anatomical structures and pathological conditions with greater accuracy and efficiency. [h3]Segmentation for MR Images[/h3] Available both locally and via the cloud, this feature provides robust segmentation for MR images, improving workflow and accuracy in medical imaging tasks. By leveraging advanced AI algorithms, TotalSegmentator ensures high-quality segmentation, facilitating better diagnosis, treatment planning, and monitoring of patient outcomes. [previewyoutube=b7KOfhHvDho;full][/previewyoutube] [h2]Visualization Enhancements[/h2] [h3]Transfer Functions per Segment[/h3] Customize each AI-segmented structure with its own transfer function, allowing for tailored visualization and improved clarity in medical imaging. This feature enhances the ability to differentiate between various tissues and structures, providing a more detailed and insightful view that can aid in diagnosis and treatment planning. [h3]UI Improvements[/h3] Manage visibility, opacity, and cut-plane settings for datasets, particularly beneficial for PET/CT merges. This enhancement offers greater control and precision in viewing complex datasets, enabling users to isolate and examine specific areas of interest with ease. [h3]Enhanced PET/CT Rendering[/h3] Experience improved visual quality and detail in PET/CT merged images, facilitating better analysis and interpretation of medical scans. This improvement ensures that subtle differences and abnormalities are more easily detectable, enhancing the diagnostic capabilities of PET/CT imaging. New Features [h3]Teleporting[/h3] Navigate effortlessly within the virtual space, enhancing the user experience and making it easier to explore and interact with 3D models. This feature allows users to quickly move to different areas within the virtual environment, improving the efficiency and intuitiveness of virtual reality interactions. [h3]Spatial Anchors[/h3] Collaborate effectively using shared spatial anchors, ensuring that all users in a session have a consistent view and interaction with virtual objects. This feature for Quest 3 enhances the collaborative experience in educational and professional settings, allowing multiple users to engage with the same virtual content simultaneously. [h3]Spanish Language Version[/h3] Access Dissection Master XR and Anatomy Master 2 contents in Spanish, broadening accessibility and usability for Spanish-speaking users. [h3]Save 3D Model State [/h3] Save and manage different states of your 3D models, enabling you to quickly return to specific configurations and streamline your workflow. This feature allows users to easily track and revisit specific model setups, facilitating more organized and efficient use of the platform. [h3]Export and Import Color Presets[/h3] Share and apply custom settings easily by exporting and importing transfer functions, enhancing collaboration and consistency. This functionality simplifies the process of transferring specific visualization settings between users and projects, ensuring a standardized approach to data interpretation. [h2]File Management and Performance[/h2] [h3]Volume Data Resolution Control[/h3] Adjust volume data resolution to optimize performance on lower-end devices, ensuring smooth and efficient operation across a range of hardware. This feature allows users to balance visual quality and performance based on their device capabilities, providing a more accessible experience. [h3]Peer-to-Peer File Upload[/h3] Introduced with an option to enforce this transfer method, ensuring secure and direct file sharing between users. This method enhances data privacy and security, allowing users to transfer files without relying on intermediary servers. [h3]Editable Shapes[/h3] Modifying shapes even after creation offers flexibility and control in customizing models and visualizations. This feature allows users to refine and adjust their models as needed, improving the accuracy and utility of their visualizations. [h3]Resizable PDFs[/h3] Adjust the size of PDFs within the platform to fit your needs, enhancing readability and usability. This flexibility ensures that users can view and interact with PDF documents more comfortably and efficiently. [h3]GLB/GLTF Uploads[/h3] Upload GLB/GLTF files directly via medicalholodeck.com/link, simplifying the process of adding new models and content to the platform. This feature streamlines the workflow for incorporating external 3D models, enhancing the versatility and expandability of the platform. [h2]PACS Improvements[/h2] [h3]C-Move DICOM Operation Support for PACS[/h3] Added support for PACS with C-Move DICOM operations, enhancing the integration and functionality of medical imaging workflows. This support streamlines the transfer and management of DICOM files, improving the efficiency of medical data handling and analysis. [h3]DICOM Tag Arguments for PACS Requests[/h3] Customize PACS requests with DICOM tag arguments, providing greater flexibility and control in accessing and managing medical data. This feature allows users to tailor their data retrieval processes to specific needs, improving the precision and relevance of the retrieved information. [h3]Selectable PACS DICOM Download Protocol[/h3] Choose the preferred download protocol for PACS DICOM, optimizing the transfer process based on specific needs and requirements. This flexibility ensures that users can select the most efficient and reliable method for their particular workflow and network conditions.