Innovation Through Collaboration.

Together with industry leaders to develop and deploy novel AI technologies. Our solutions enable secure data sharing, AI-readiness and distributed learning.

Intervention &
Devices

Ensuring trusted outcomes through AI across the full spectrum of procedures and products, with step by step guidance from data preparation, model development, regulatory support and product deployment.

  • Innovative possibilities and solutions for medical and surgical procedures
  • Imaging and diagnostics
  • Value-based trusted outcomes
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Olympus Announces Co-Development Agreement with AI4GI

Olympus Announces Co-Development Agreement with AI4GI

Olympus, a global technology leader in designing and delivering innovative solutions for medical and surgical procedures…

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Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning mode

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning mode

Publication: Gut

Michael F Byrne, Nicolas Chapados, Florian Soudan, Clemens Oertel, Milagros Linares Pérez, Raymond Kelly, Nadeem Iqbal, Fl

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Discovery &
Diagnosis

Infuse powerful AI capabilities into your value chain to learning across modalities for novel biomarker discovery, enhanced patient trial recruitment, and continous trial monitoring and outcomes prediction.

  • Biomarker discovery with AI
  • Clinical trial recruitment optimization
  • Rapid trial simulation and value-based outcomes
  • Continuous trial monitioring
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Optina Diagnostics Looks to Advance Biomarker Discovery Through Collaboration with Imagia

Optina Diagnostics Looks to Advance Biomarker Discovery Through Collaboration with Imagia

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Imagia: Collaborating on AI-powered healthcare discovery

Imagia: Collaborating on AI-powered healthcare discovery

To provide greater access to personalized care, Imagia uses Google Cloud Platform to support its collaborative, knowledge-based ecosystem th

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For Healthcare Organizations

Our EVIDENS platform enables our partner institutions to revolutionize their AI infrastructure, enabling full use of a site’s real world data to provide solutions for patients, commercial partners, and on-site researchers.

  • Patient data remains private and is fully owned by the institution
  • Power discovery at scale through federated data sharing
  • Improve patient care with turn-key AI solutions
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Imagia Partners with Top US and Canadian Hospitals to Facilitate AI Accelerated Healthcare Discoveries

Imagia Partners with Top US and Canadian Hospitals to Facilitate AI Accelerated Healthcare Discoveries

New partnerships enable hospitals to access the Imagia EVIDENS™ AI platform, empowering clinicians to utilize cohorted and structured real

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For Clinical Researchers

Accelerate publishing and grant funding, gaining access to federated data for research at scale, and be part of an ecosystem of industry partners and a network of experts.

  • Assistance with publishing and grant funding processes
  • Access to experts in relevant fields
  • Unlock federalized data for conducting research at scale
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How we developed an AI-driven discovery platform that transforms real-world healthcare data into clinically actionable insights

How we developed an AI-driven discovery platform that transforms real-world healthcare data into clinically actionable insights

It seems self-evident that healthcare research could gain tremendous value from using artificial intelligence to derive insights and solutio

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How AI could improve lung cancer screening—and help to save lives

How AI could improve lung cancer screening—and help to save lives

Lung cancer is the deadliest cancer in Canada—and the world. Every year, lung cancer kills more than 20,000 Canadians. Of those who receiv

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Application of Homomorphic Encryption in Medical Imaging

Application of Homomorphic Encryption in Medical Imaging

A technical 20-page report for next-generation data governance models. Authors: Francis Dutil, Alexandre See, Lisa Di Jorio and Florent Chan

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