Apps Like UDE Lite for iPhone and iPad
Medical imaging display solution for research.
The app converts an iPad Pro into a DICOM server and viewer for offline display and storage of medical images. It facilitates clinical information communication and overcomes traditional workstation barriers for research or reference purposes.
UDE Lite screenshots
Ranked alternatives
Showing 41–60 of 1,000 ranked alternatives.




iPaxera
PaxeraHealth Corp
View DICOM studies on your device
View and navigate DICOM images from studies. Import studies via local sync using USB cable. Access DICOM CDs or flash memory. Transfer files through iTunes. No internet connection required.




Mobile MIM
MIM Software Inc.
Review images, contours, and treatment plans securely on mobile devices.
The app enables medical professionals to review and analyze various imaging modalities. The app supports secure data transfer and offers tools for image fusion and measurement.

eUnity
Client Outlook Inc.
View medical images securely
Access and manipulate high-quality medical images across all modalities including X-ray, CT, MRI, color ultrasound, and X-ray angiography.

PASCHAL-Forskalling
PASCHAL-Danmark AS
Find contacts, products, and information.
The app allows PASCHAL-Danmark A/S customers to find contact persons and locate products with technical information. Customers can access this information directly from construction sites.






Inova
Inova Health System
Access medical records securely
Access medical records securely through MyChart. Schedule and manage virtual or in-person appointments. Complete check-ins before visits. Find and navigate to hospital, clinic, and specialty care locations.

MedSafeAI: AI Doctor Assistant
SAFE AI NETWORK PTE. LTD.
Access medical data and analyze imaging
Access medical information and analyze imaging with AI tools. Retrieve insights across specialties using GPT-4, GPT-5, and Vision API. Support clinical workflows with AI-driven analysis and data interpretation.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.