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Description
Concentriq, our advanced AI-driven software platform, operates at the crucial crossroads of digital and computational pathology, merging essential functionalities for routine pathology tasks with robust AI tools that enhance innovations and elevate patient care quality. Pathology laboratories around the globe are acutely aware of the contemporary hurdles, which include an escalating cancer incidence, a shortage of trained pathologists, diminishing reimbursement rates, and the urgent need for modernization. In this context, with one billion pathology slides projected to transition to digital formats annually, generating enormous volumes of new data and insights, the urgency to act is undeniable. Digital pathology equips today’s progressive pathology organizations with the resources necessary to tackle these challenges effectively, thereby revolutionizing our operational methods and significantly impacting the fields of medicine and patient treatment. As this transformation unfolds, the potential for improved diagnostics and enhanced patient outcomes continues to grow exponentially.
Description
Numerous choices in cancer treatment are fraught with uncertainty, and existing resources fail to assist a significant number of patients effectively. As a result, this situation contributes to preventable fatalities and the loss of billions in healthcare expenditures. Our team, which consists of experts from both computer science and oncology, is dedicated to addressing the critical challenges in cancer care using artificial intelligence. We are developing clinical-grade deep learning models that evaluate individual patient profiles and offer valuable guidance to oncologists during their decision-making processes. By placing oncologists at the forefront of our AI development, we ensure that the insights generated are not only interpretable but also actionable. Collaborating with leading academic medical institutions and community oncologists, we aim to tackle important clinical questions to improve patient outcomes. Ultimately, our goal is to enhance decision-making in cancer care and reduce the associated burdens on patients and healthcare systems.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Proscia
Founded
2014
Country
United States
Website
proscia.com
Vendor Details
Company Name
Valar Labs
Founded
2021
Country
United States
Website
www.valarlabs.com