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What is Behold.ai?

The red dot® algorithm we employ quickly examines and detects anomalies in images with exceptional accuracy. Crafted using over 30,000 images rigorously reviewed by qualified Consultant Radiologists in the UK, this AI system has achieved a remarkable accuracy rate that surpasses 90%. It can identify irregularities in just seconds, facilitating prompt diagnoses for patients, often even before they leave the hospital. Our AI innovation not only enhances existing reporting processes but also integrates smoothly with current RIS or PACS systems, regardless of the provider. Behold.ai has proven to be extremely cost-effective, greatly reducing reporting backlogs and capacity issues, while its expenses can be as much as 50% lower than those of outsourced reporting services. Additionally, behold.ai has garnered recognition as one of the Top 100 Digital Health companies globally and ranks among the leading five solutions for AI-assisted diagnosis worldwide. This accolade highlights our dedication to advancing healthcare through cutting-edge technology, ensuring that patients receive accurate and timely care. Our commitment to innovation continues to drive improvements in healthcare delivery and outcomes on a global scale.

What is AarogyaAI?

AarogyaAI is an innovative software-as-a-service (SaaS) platform enhanced by artificial intelligence that can detect drug-resistant tuberculosis in just a few hours. Our goal is to streamline the diagnosis process for drug-resistant tuberculosis (DR-TB) utilizing cutting-edge AI technology, facilitating rapid and accurate treatment suggestions. Tuberculosis remains one of the top causes of death, outpacing even AIDS, largely because of the unpredictability regarding which of the 19 available anti-TB medications will work for individual patients. This uncertainty can result in extended periods—sometimes lasting as long as seven years—during which patients endure ineffective treatments, even though the disease is treatable. By delivering results within hours, AarogyaAI guarantees that patients receive the most appropriate drug combinations for their specific needs without unnecessary wait times. The methodology involves submitting a patient's DNA sequence to our platform, where our sophisticated machine learning algorithms conduct an analysis and produce a comprehensive report on drug susceptibility. This streamlined approach not only conserves time but also enhances health outcomes for individuals battling drug-resistant tuberculosis. With its transformative approach, AarogyaAI is redefining how TB diagnostics and treatments are administered, demonstrating a significant leap forward in the fight against this global health challenge. In essence, our platform exemplifies the intersection of technology and healthcare, paving the way for more effective solutions in managing complex diseases.

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

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

Behold.ai

Company Location

United Kingdom

Company Website

behold.ai/

Company Facts

Organization Name

AarogyaAI

Company Location

India

Company Website

aarogya.ai/

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

Categories and Features

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