D2P vs Lumi
Similar category, different focus. These tools serve overlapping but distinct needs.
Comparability 75/100
Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.
AI Verdict
Both D2P and Lumi convert 2D medical images into 3D models for surgical planning and advanced visualization, making them comparable in their foundational capabilities. However, D2P emphasizes the creation and editing of 3D models for patient-specific 3D printing and VR visualization, while Lumi focuses on AI-driven segmentation for AR visualization through holograms, particularly for neurosurgery and future intra-operative applications.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Frequently Asked Questions
D2P utilizes Virtual Reality (VR) for non-diagnostic visualization of 3D anatomical models. Lumi employs Augmented Reality (AR) via Head-Mounted Displays like HoloLens 2 and generates holograms for surgical preparation and patient education.
While D2P offers general advanced visualization and 3D model creation for patient-specific healthcare, Lumi is primarily focused on neurosurgery, enhancing surgical insights in that specific field. Both are intended for surgical planning and visualization, not diagnostic use.
D2P handles Protected Health Information (PHI) within a regulated medical device context, although its explicit HIPAA compliance or BAA status is not explicitly stated in the provided information. Lumi (Augmedit B.V.) does have a Business Associate Agreement (BAA) in place, which outlines its obligations for protecting PHI in compliance with HIPAA.
D2P offers seamless integration with 3D Systems printers and other software like 3DSPRINT and CAD. Lumi is hardware agnostic, compatible with devices such as HoloLens 2, and will soon support web and mobile platforms.