D2P vs Cydar EV

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 65/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.

D2P

by 3D Systems

Cydar EV

by Cydar Medical

AI Verdict

D2P is primarily a workstation-based software for converting 2D medical images into editable 3D anatomical models, focusing on pre-operative planning and 3D printing for specialties like neurosurgery and orthopedics. In contrast, Cydar EV is a cloud-based, AI-driven platform focused on providing real-time 3D visualization and guidance specifically during endovascular procedures. While both leverage AI for surgical planning and visualization, their core applications and operational phases within the surgical workflow are distinct.

Choose D2P if…

Choose D2P if your primary need is to transform 2D medical images into highly detailed, patient-specific 3D anatomical models for comprehensive pre-surgical planning and advanced visualization. This tool is ideal for creating physical 3D printed models or utilizing VR for non-diagnostic review, offering robust segmentation and editing capabilities for complex anatomical structures.

View D2P →

Choose Cydar EV if…

Choose Cydar EV if you require real-time, AI-driven 3D visualization and guidance specifically for endovascular procedures. This cloud-based solution excels at enhancing intra-operative accuracy, reducing radiation exposure and contrast agent use, and providing seamless navigation during live surgeries in specialties like vascular surgery or interventional cardiology.

View Cydar EV →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature	D2P	Cydar EV
Pricing	Contact for pricing	Contact for pricing
Deployment	Stand-alone modular software package (workstation-based)	Cloud-based (Software-as-a-Service)
FDA Status	Yes AI-estimated	1 AI-estimated

Head-to-Head

AI-generated assessment across six dimensions based on each tool's documented features and compliance posture. Grounded in public data — not a substitute for hands-on evaluation.

Usability

Cydar EV

Cydar EV, being cloud-based and accessible via a standard web browser, offers a more modern and flexible user experience, including a smartphone app for authentication and real-time collaboration features. While D2P is praised for its ease of use in segmentation and 3D printing on a workstation, Cydar EV's deployment model and focus on real-time intra-operative guidance with augmented reality likely provide a more streamlined workflow for its specific surgical application.

Clinical Value

Cydar EV

Both tools offer significant clinical value, with D2P excelling in pre-operative planning and 3D model creation for complex surgeries. However, Cydar EV directly impacts patient safety and procedural efficiency during live endovascular procedures by reducing radiation exposure, contrast use, and procedure time, while also improving surgical accuracy and consistency. These immediate, measurable intra-operative benefits give Cydar EV a slight edge in direct clinical impact.

Pricing & Value

Tie

Both D2P and Cydar EV require prospective customers to contact their respective sales teams for pricing information, as no public pricing details are available. Without transparent pricing, it is impossible to conduct a direct comparison of their costs or assess which tool offers better overall value.

Enterprise Readiness

Cydar EV

Cydar EV explicitly states HIPAA compliance and offers a Business Associate Agreement (BAA), which are critical for enterprise healthcare deployments. Its cloud-based Software-as-a-Service (SaaS) model, coupled with features like a 'Hospital Vault' for data control and two-factor authentication, provides superior scalability, security, and centralized management compared to D2P's workstation-based deployment.

Innovation

Cydar EV

While D2P innovates with deep learning for segmentation and VR for pre-operative visualization, Cydar EV demonstrates a higher degree of innovation through its AI-driven real-time augmented reality overlay and image guidance during live endovascular procedures. Furthermore, Cydar EV's AI continuously learns from global procedures to provide predictive analytics, directly enhancing surgical execution and outcomes.

Support & Docs

Cydar EV

Cydar EV offers comprehensive 24/7 support via email and phone, along with a dedicated Companion App for photo sharing and direct expert connection within the software. This always-available and multi-channel support, combined with accessible PDF documentation, appears more robust and responsive than the general support offerings mentioned for D2P.

Feature-by-Feature

Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.

Feature	D2P	Cydar EV
Name	D2P	Cydar EV
Company	3D Systems	Cydar Medical
Description (Core Function)	Converts 2D medical imaging data (DICOM) into accurate 3D digital anatomical models for advanced visualization, surgical planning, and 3D printing of patient-specific models.	Cloud-based, AI-driven software that provides real-time 3D visualization and guidance for endovascular procedures.
Key Technologies/Methodologies	Deep learning, VR, Automatic and manual segmentation tools (deep learning driven), High-quality volume rendering and mesh coloring.	AI-driven image guidance, Real-time 3D visualization and augmented reality overlay.
Primary Application Areas	Advanced visualization, surgical planning, 3D printing of patient-specific models.	Real-time 3D visualization and guidance for endovascular procedures, pre-operative planning, intra-operative navigation, post-operative review.
Supported Specialties	Neurosurgery, Orthopedics, Radiology	Cardiology, Interventional Radiology, Vascular Surgery

Videos

Demos, reviews, and walkthroughs featuring D2P and Cydar EV.

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Frequently Asked Questions

How do D2P and Cydar EV integrate into existing clinical workflows, and what distinct clinical problems do they solve?

D2P by 3D Systems is a workstation-based software that converts 2D medical imaging into accurate 3D digital anatomical models for advanced visualization, surgical planning, and 3D printing, primarily benefiting specialties like neurosurgery, orthopedics, and radiology for pre-operative understanding. Cydar EV Maps is a cloud-based, AI-driven solution that provides real-time 3D visualization and guidance for endovascular procedures, aiming to reduce radiation exposure, contrast use, and procedure time while improving surgical accuracy and consistency in cardiology, interventional radiology, and vascular surgery.

How do the accuracy and precision of D2P's 3D model creation compare to Cydar EV's real-time intra-operative guidance in their respective clinical applications?

D2P utilizes deep learning for automatic and manual segmentation to create accurate 3D anatomical models from DICOM data, which are validated for diagnostic use when printed with compatible 3D Systems printers and materials, supporting precise pre-surgical planning. Cydar EV employs AI-driven computer vision to provide highly accurate, real-time 3D guidance and augmented reality overlays during endovascular procedures, continuously updating maps to account for anatomical deformations and improving surgical precision and consistency.

Considering their specialized applications, which tool offers a more immediate clinical impact or quicker time-to-value for its target specialties?

Cydar EV offers a more immediate time-to-value by directly enhancing intra-operative efficiency and safety for endovascular procedures, with reported reductions in radiation exposure, fluoroscopy time, and procedure time. D2P provides value through enhanced pre-operative planning, advanced visualization, and patient-specific model creation, which translates to improved surgical outcomes and education over a planning cycle, particularly for complex anatomical cases in neurosurgery and orthopedics.

What is the anticipated learning curve for physicians and support staff for each tool, and what kind of support is typically provided for adoption?

D2P, as a workstation-based software with comprehensive 3D model editing and deep learning segmentation, may involve a learning curve to master its advanced features for detailed anatomical model creation. Cydar EV, being a cloud-based, AI-driven platform for real-time surgical guidance, is designed to seamlessly integrate into existing clinical workflows and offers real-time support directly within Cydar Maps, along with a companion app for photo sharing to a 24/7 support team.

Beyond standard compliance, what audit-trail features and additional security measures are in place to protect sensitive patient data within each tool's operational context?

D2P, as stand-alone modular software, operates within a regulated medical device context, implying adherence to data handling standards for protected health information, likely with local audit trails for model creation and modifications. Cydar EV, as a cloud-based SaaS solution, leverages high-performance cloud computing and states a commitment to platform security and data protection, which would typically include comprehensive audit logs for access and usage.

For a multi-site healthcare system, what are the key considerations for deploying and managing each tool across different facilities?

Deploying D2P across multiple sites would involve individual workstation installations and management at each facility, with data sharing of 3D models potentially requiring specific file transfer protocols. Cydar EV, being a cloud-based platform, offers potential for more streamlined multi-site deployment with centralized data management and consistent access across facilities, as demonstrated by its pilot program with Medtronic to be applied to up to 40 new global sites.

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Backers

Who funded each tool's parent company.

Cydar EV

Downing LLP