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What is Mamosis?

Mamosis is a revolutionary AI-driven cancer diagnosis software designed to transform how healthcare providers and individuals approach early detection and health management. Its advanced deep learning models, rigorously trained and clinically validated, analyze medical images and personal wellness data to detect minute anomalies often missed by traditional methods. Mamosis generates comprehensive diagnostic reports within minutes, presenting key findings clearly to aid swift clinical decision-making. The platform’s intuitive interface allows medical professionals to upload images securely and review analyses effortlessly, saving crucial time in busy healthcare environments. Patient data security is paramount; all information is encrypted and handled with strict confidentiality, complying with international privacy standards. Mamosis also extends its benefits to individuals by translating complex health data into understandable insights and personalized guidance, supporting proactive health management. The system enhances collaboration between AI technology and expert clinical judgment, offering a reliable second opinion that improves diagnostic confidence. Users report significant improvements in workflow efficiency and diagnostic accuracy, especially in mammography analysis. With offices in the UK, Dubai, and Turkey, Mamosis is committed to expanding access to intelligent diagnostics worldwide. The platform exemplifies the future of preventative care, enabling earlier interventions and better health outcomes through innovative AI technology.

What is EnsoData?

We believe that Waveform AI holds great promise for transforming the healthcare sector, and we are actively creating a platform aimed at providing clinicians with vital information and support across the entire care continuum. Effecting change in healthcare necessitates a collaborative approach, and to contribute to the industry's progress, we are releasing peer-reviewed studies on AI to demonstrate its advantages throughout the patient care journey. Our platform is specifically designed to help providers recognize patients at high risk for sleep apnea by utilizing data from electronic medical records, waveforms, wearables, and a variety of other sources, which will enable timely referrals for diagnosis. By harnessing this information, we can assist healthcare professionals in identifying the most vulnerable patients from a large undiagnosed population, classifying them according to their risk of adverse outcomes and associated healthcare expenses. Furthermore, we aim to optimize the diagnostic workflow for clinicians, empowering them to manage a larger patient volume with greater efficiency and effectiveness, thereby enhancing the overall quality and speed of sleep apnea diagnoses. Ultimately, our goal is to contribute to the creation of a healthier future for all individuals, ensuring that no one is overlooked in the pursuit of better health outcomes.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$8.25 per month
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

Mamosis

Date Founded

2025

Company Location

Turkey

Company Website

mamosis.com

Company Facts

Organization Name

EnsoData

Company Location

United States

Company Website

www.ensodata.com/technology/

Categories and Features

Categories and Features

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