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Medicalholodeck News

More AI. More Speed. More Power.

[h3]Medicalholodeck’s latest update to version 1.3.1 delivers new AI-powered segmentations, optimized volumetric rendering for very big datasets with high performance, and language support for Brazilian Portuguese.
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[h2]New AI-Powered Segmentations[/h2]

Medicalholodeck now additionally supports AI segmentation for Liver Vessels and Oculomotor Muscles, expanding its capabilities for medical professionals working in radiology, surgery, and medical education.

These new models, integrated from TotalSegmentator, allow users to efficiently analyze complex anatomical structures in PC VR and Remote Rendering environments.

With these additions, Medicalholodeck continues to provide a powerful tool for visualizing and interacting with medical imaging data in real-time.

In addition to the newly introduced segmentation models, Medicalholodeck already supports the following range of AI segmentation models, including:

⚡Main Structures⚡
⚡MRI Main Structures⚡
⚡Lung Vessels⚡
⚡Body⚡
⚡Head Glands & Cavities⚡
⚡Head Muscles⚡
⚡Neck Bones & Vessels⚡
⚡Neck Muscles⚡
⚡Coronary Arteries⚡
⚡Cerebral Bleed⚡
⚡Pleural & Pericardial Effusion⚡
⚡Hip Implant⚡
⚡NEW: Liver Vessels⚡
⚡NEW: Oculomotor Muscles⚡


The segmentation process is efficient and straightforward: import your DICOM data, select the appropriate AI segmentation model, and let the system process the structures automatically. Segmentation is fast, taking only 20–50 seconds for a standard-sized DICOM dataset.

Once the initial segmentation is complete, you can refine it by selecting or deselecting specific structures to focus on the critical details. This automation significantly reduces manual effort, enhances accuracy, and allows for a more precise and immersive study of anatomical relationships.

These advanced segmentation options are particularly valuable for hepatic surgeons, radiologists, ophthalmologists, and medical educators. Liver vessel segmentation supports preoperative planning and research, while detailed segmentation of the oculomotor muscles provides critical insights into orbital anatomy, essential for ophthalmic surgery and neuro-ophthalmology.

Medicalholodeck’s AI segmentation models already include Coronary Arteries, Cerebral Bleed, and Lung Vessels, offering a comprehensive toolset for anatomical analysis and surgical planning.

[h2]Higher Performance for Large Datasets[/h2]
Medicalholodeck’s volumetric rendering has been significantly optimized, achieving a 20–40% increase in framerate on PC VR and Remote Rendering. This enhancement enables medical professionals to work with larger DICOM datasets more efficiently, ensuring smoother interactions and clearer, more detailed visualization of complex anatomical structures.

For radiologists, surgeons, and medical educators, this upgrade translates into reduced lag, improved image clarity, and a more immersive VR experience which is critical for accurate assessments and procedural planning. Higher frame rates allow for more intuitive interaction with patient data, whether analyzing volumetric scans, preparing for surgery, or teaching anatomy in 3D.

For more information, contact [email protected]

Medicalholodeck on iPad and iPhone

Medicalholodeck is now available on iOS, bringing its full suite of medical augmented reality applications to iPads and iPhones. With this launch, healthcare professionals, educators, and students can access Medicalholodeck’s medical visualization tools directly on their mobile devices. Additionally, it enables collaboration between users on VR headsets and iOS devices.

[h2]Free Access for a Limited Time - Download Here[/h2]



[h3]Advanced Medical Visualization on Mobile Devices[/h3]
The Medicalholodeck suite offers a complete set of AR-powered applications designed for in-depth exploration, analysis, and interaction with medical imaging. Users can load patient data in DICOM format and view it in augmented reality, enhancing diagnostic and educational experiences. The platform also includes the Dissection Master XR and Anatomy Master 2 datasets, featuring high-resolution anatomical models for learning and teaching. With the addition of an iOS version, Medicalholodeck is now available not only on VR headsets but also on iOS mobile devices, expanding its use in hospitals and classrooms.

[h3]Expanding Beyond VR to Mobile Devices[/h3]
Medical students can study detailed anatomical models and medical imaging on their own devices, improving their understanding of human anatomy and pathology. They can examine virtual cadavers, manipulate 3D structures, and compare healthy versus pathological conditions, enhancing their diagnostic skills. The ability to collaborate with peers and instructors using a combination of VR headsets and mobile devices further enhances the learning experience.



Healthcare professionals can review DICOM scans and 3D models remotely, facilitating better communication with colleagues and patients. This enables quick and effective discussions about surgical procedures, treatment planning, and case reviews without requiring access to traditional workstations. With support for mixed-device collaboration, professionals using VR headsets can now interact seamlessly with colleagues using tablets and smartphones.

Educators can integrate interactive AR tools into their teaching, making medical concepts more accessible and engaging. By presenting medical imaging and anatomical structures in AR, instructors can create a more immersive and interactive learning experience for students. Multi-device compatibility allows instructors to conduct virtual dissections and interactive demonstrations with participants joining from different platforms.

Clinicians handling patient information can use Medicalholodeck to review patient-specific DICOM scans directly from their mobile devices, ensuring they have access to crucial medical data at any time. The ability to interact with specialists using VR headsets enhances remote consultations and decision-making.



[h3]Use Cases in Detail[/h3]
Surgical Planning and Patient Communication: Surgeons can use Medicalholodeck to review and explain complex cases to patients, offering a visual and interactive way to discuss procedures. The ability to display 3D reconstructions of patient scans helps improve patient understanding and trust in medical decisions. The mixed-reality capability allows surgeons to consult with colleagues using both VR headsets and mobile devices in real time.*

Radiology and Imaging Analysis: Radiologists can analyze and interpret DICOM images directly from their iOS devices, enabling remote consultations and second opinions. This is especially beneficial for specialists working across multiple facilities or in telemedicine scenarios. By integrating VR headsets into the workflow, radiologists can interact with 3D scans more intuitively while sharing insights with colleagues using mobile devices.

Medical Training and Education: With AR-enhanced anatomical models and medical imaging, students can engage in self-guided learning or participate in instructor-led virtual dissections. This approach helps bridge the gap between theoretical knowledge and practical application. The ability to work collaboratively across different devices ensures more inclusive and engaging educational experiences.

[h3]Download Now on iOS[/h3]
With Medicalholodeck now available on iOS, users can experience a new level of accessibility and flexibility in medical AR. Whether for education, professional use, or research, this powerful tool brings medical visualization to the palm of your hand while supporting real-time collaboration between VR and mobile users.

Download Medicalholodeck on the App Store and explore the future of medical AR today.

Invitation: Medicalholodeck Conference & Investors Day March 15, 2025

Medical AI and spatial technologies are reshaping surgery, clinical practice, and medical education. Join us on March 15, 2025, remotely or in Zurich, Switzerland for the Medicalholodeck Conference & Investors Day, where industry experts, surgeons, and investors will discuss and explore the future of AI-driven healthcare solutions.

The event is divided into two parts:

Part 1: The Medicalholodeck Conference will highlight the latest advancements in AI-powered surgical planning and smart medical data, featuring insights from leading surgeons worldwide.
Registration Part 1: https://us05web.zoom.us/webinar/register/WN_04RiqpMBSLWe8IRIIIbbfg


Part 2: The Investors Day offers exclusive access to Medicalholodeck’s next steps, including regulatory developments, market trends, and investment opportunities in spatial medicine.
Registration Part 2: [email protected].


[h2]Program[/h2]

[h2]Part 1: Medicalholodeck Conference[/h2]
March 15, 2025 | 14:00 – 16:00 CET / 09:00 – 11:00 EDT
Remote or In-Person - Zurich, Switzerland

Explore how AI and smart medical data are improving surgery, clinical practice, and training. Learn from leading surgeons who are leveraging Medicalholodeck’s technology to enhance decision-making, improve precision, and reduce surgery times - resulting in shorter procedures, better patient outcomes, and lower healthcare costs.

[h3]Presentations[/h3]
  • Spatial Medical AI in Surgery - Advancing precision and efficiency in surgical practice
  • Smart Medical Data in Clinical Practice - Real-world applications from leading experts
  • Global Use Cases - Surgeons discuss their approaches, key insights, and future directions

Register here to attend remotely: https://us05web.zoom.us/webinar/register/WN_04RiqpMBSLWe8IRIIIbbfg

For in-person attendance, contact: [email protected]


[h2]Part 2: Investors Day[/h2]
March 15, 2025 | 16:00 – 18:00 CET / 11:00 – 13:00 EDT
Remote or In-Person - Zurich, Switzerland

An exclusive session for investors interested in the future of AI-powered healthcare and spatial medicine. Gain key insights into Medicalholodeck’s strategic roadmap, regulatory milestones (FDA & CE certifications), and the economic potential of AI in clinical markets.

To participate in Investors Day contact [email protected].

[h3]Presentations[/h3]
  • Medicalholodeck’s Regulatory Roadmap - Impact on clinical adoption and market entry
  • Market and Economic Insights - Growth potential in spatial medicine
  • Investment Opportunities - Medicalholodeck’s future developments

The event will conclude with a dinner hosted by Medicalholodeck.


For any inquiries, please contact [email protected].


Medicalholodeck AG
Technoparkstr. 1
8005 Zurich
Switzerland

www.medicalholodeck.com

Software Update: Anatomy Master 2, New AI Tools, and Performance Improvements

[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]

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[h2]Anatomy Master 2[/h2]

Anatomy Master 2 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.

Anatomy Master 2 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 Medicalholodeck AI, 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.

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[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.