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Average Ratings 0 Ratings

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ease
features
design
support

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Description

An AI-driven solution utilizing X-Ray and CT scans is designed for public health screening, focusing on identifying chest pathologies such as Tuberculosis and COVID-19-related infections. This innovative system, known as Genki, integrates "AI+Expert in the loop" to deliver a comprehensive imaging workflow, where artificial intelligence enhances the capabilities of imaging specialists, resulting in quicker report generation and increased productivity. Utilizing cutting-edge technology, Genki effectively augments X-ray imaging for the analysis of infectious diseases like TB and COVID-19, offering rapid prescreening and triage capabilities. We have meticulously refined the entire workflow to facilitate a seamless process for imaging assessment, diagnosis, and reporting, while a smart notification system alleviates the stress often associated with reporting tasks. Key features of Genki include the ability to classify, localize, and quantify lesions effectively. The solution emphasizes point-of-care diagnostics, which is essential for addressing the gaps in disease elimination, and can be integrated into mobile X-ray units and CT scanners, ensuring immediate triage and prescreening when needed. This approach not only enhances efficiency but also significantly contributes to improving public health outcomes.

Description

MedGemma is an innovative suite of Gemma 3 variants specifically designed to excel in the analysis of medical texts and images. This resource empowers developers to expedite the creation of AI applications focused on healthcare. Currently, MedGemma offers two distinct variants: a multimodal version with 4 billion parameters and a text-only version featuring 27 billion parameters. The 4B version employs a SigLIP image encoder, which has been meticulously pre-trained on a wealth of anonymized medical data, such as chest X-rays, dermatological images, ophthalmological images, and histopathological slides. Complementing this, its language model component is trained on a wide array of medical datasets, including radiological images and various pathology visuals. MedGemma 4B can be accessed in both pre-trained versions, denoted by the suffix -pt, and instruction-tuned versions, marked by the suffix -it. For most applications, the instruction-tuned variant serves as the optimal foundation to build upon, making it particularly valuable for developers. Overall, MedGemma represents a significant advancement in the integration of AI within the medical field.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DEEPTEK

Country

India

Website

www.deeptek.ai/genki

Vendor Details

Company Name

Google DeepMind

Founded

2010

Country

United Kingdom

Website

deepmind.google/models/gemma/medgemma/

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