Radial3D Inc.

# Radial3D Inc.: High-Level Overview

Radial3D is a medical imaging software platform that enables clinical professionals to visualize, analyze, and diagnose CT and MRI scans in 3D and extended reality (VR/AR) environments.[1][2] The company addresses a critical pain point in healthcare: the time-intensive process of interpreting 2D medical images. By converting medical imaging data into interactive 3D visualizations accessible across any web-connected device—from smartphones to VR headsets—Radial3D reduces diagnostic evaluation time while facilitating real-time collaboration between healthcare professionals, students, researchers, and patients globally.[2] The platform serves medical students, healthcare professionals, and clinical institutions seeking to improve diagnostic accuracy and accelerate expert consultation across geographic boundaries.

# Origin Story

Radial3D emerged from the University of Hawaiʻi ecosystem, developed by a team led by Scott Lozanoff of the John A. Burns School of Medicine.[3] The company was founded in 2016 in Honolulu, Hawaii,[1][2] and became a graduate of XLR8UH, the University of Hawaiʻi's proof-of-concept center and venture accelerator program.[3] The founding team included Evan Young (Co-Founder and COO, focused on business development and fundraising) and McKay Davis (CTO), alongside other co-founders.[1][2] The company gained early validation by presenting at the prestigious First Look LA technology showcase in June 2017, where it pitched to over 200 investors and entrepreneurs.[3] This early traction positioned Radial3D as a promising university spinout in the medical technology space.

# Core Differentiators

• Real-time collaboration: Multiple users can simultaneously interact with and analyze the same 3D scan, enabling distributed teams of experts to work together seamlessly—a capability comparable to collaborative tools like Google Docs but for medical imaging.[1][2]

• Device agnostic accessibility: The platform functions across smartphones, tablets, laptops, and VR/AR headsets, removing barriers to access and enabling clinicians to engage with imaging data from any location.[1][2]

• Full 3D volumetric visualization: Rather than viewing individual 2D slices, users see the complete 3D volume with every layer, providing richer spatial context for diagnosis and analysis.[1]

• Web-based architecture: Built on modern web technology, the platform avoids the need for specialized medical imaging software installations, reducing friction for adoption.[2]

# Role in the Broader Tech Landscape

Radial3D operates at the intersection of three powerful trends: the digitization of healthcare, the maturation of VR/AR as practical enterprise tools, and the shift toward collaborative, cloud-native medical workflows. The company rides the wave of healthcare's digital transformation, where institutions increasingly seek to reduce diagnostic bottlenecks and enable expert consultation across geographic boundaries—particularly valuable in regions with specialist shortages. The timing is significant: as VR/AR hardware becomes more affordable and web standards mature, medical imaging platforms can now deliver immersive experiences without requiring expensive dedicated workstations. By democratizing access to advanced visualization tools, Radial3D influences the broader ecosystem by demonstrating that legacy medical imaging workflows can be reimagined through modern web and spatial computing technologies, potentially inspiring similar transformations across other clinical domains.

# Quick Take & Future Outlook

Radial3D is positioned to capitalize on healthcare's ongoing shift toward remote collaboration and AI-assisted diagnostics. As the company matures, its trajectory will likely depend on clinical adoption rates, regulatory clearances, and integration with hospital information systems. The convergence of telemedicine demand, specialist shortages in underserved regions, and improving spatial computing hardware creates a favorable environment for growth. Looking ahead, Radial3D's influence could extend beyond diagnosis into medical education and surgical planning, where 3D visualization and real-time collaboration offer substantial value. The company's success will ultimately hinge on proving that its platform meaningfully reduces diagnostic time and improves outcomes—metrics that will determine whether it becomes a standard tool in modern clinical practice or remains a specialized solution for early-adopter institutions.