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What is Simply Onno?

Onno – Making Medical Documents Easier to Understand. Are you finding it difficult to comprehend a doctor's letter or a radiology report? Onno offers a straightforward translation of your medical documents to ensure clarity. Just upload any medical papers, and the AI, which has been approved by healthcare experts, will decode the complex medical terminology for you to fully understand the information presented. You have the option to receive a free summary, while the detailed version, which encompasses thorough definitions of all terms, suggested inquiries for your upcoming medical visit, and guidance on future actions, is available for €18.50. There’s no requirement for registration or account creation, allowing for a fully anonymous experience that complies with GDPR regulations and functions effortlessly in your browser. This service supports both German and English languages. At present, Onno is being validated through two clinical studies at Uniklinikum Dresden in Germany. With over 60,000 reports translated and more than 90% of users finding it advantageous, it is recognized as a highly sought-after and dependable resource for medical translation. Furthermore, Onno received the Deutscher KI-Startup-Preis 2025 from DIE WELT, underscoring its significant contribution to the field. This innovative service not only improves patient comprehension but also encourages more effective communication between patients and their healthcare providers, ultimately leading to better health outcomes. The success of Onno demonstrates a growing need for accessible medical information in an increasingly complex healthcare landscape.

What is MedGemma?

MedGemma is a groundbreaking collection of Gemma 3 variants tailored specifically for superior analysis of medical texts and images. This tool equips developers with the means to swiftly create AI applications that are focused on healthcare solutions. At present, MedGemma features two unique variants: a multimodal version boasting 4 billion parameters and a text-only variant that has an impressive 27 billion parameters. The 4B model utilizes a SigLIP image encoder, which has been thoroughly pre-trained on a diverse set of anonymized medical data, including chest X-rays, dermatological visuals, ophthalmological images, and histopathological slides. Additionally, its language model is trained on a broad spectrum of medical datasets, encompassing radiological images and various pathology-related visuals. MedGemma 4B is available in both pre-trained formats, identified with the suffix -pt, and instruction-tuned variants, indicated by the suffix -it. For the majority of use cases, the instruction-tuned version is the preferred starting point, adding significant value for developers. This advancement not only enhances the capability of AI in the healthcare sector but also paves the way for new innovations in medical technology. Ultimately, MedGemma marks a transformative step forward in the application of artificial intelligence in medicine.

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Integrations Supported

Dr7.ai
Gemini Enterprise Agent Platform
Gemma 2
Gemma 3
Gemma 4
Hugging Face

Integrations Supported

Dr7.ai
Gemini Enterprise Agent Platform
Gemma 2
Gemma 3
Gemma 4
Hugging Face

API Availability

Has API

API Availability

Has API

Pricing Information

$18.50
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Simply Onno GmbH

Date Founded

2024

Company Location

Germany

Company Website

www.simply-onno.com

Company Facts

Organization Name

Google DeepMind

Date Founded

2010

Company Location

United Kingdom

Company Website

deepmind.google/models/gemma/medgemma/

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Categories and Features

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