HealthTech HotSpot featured HOPPR’s EB 2D Mammo Narrative Model as the top story on its homepage, highlighting the company’s continued expansion of its vision-language model portfolio for medical imaging AI.

HOPPR was featured in AuntMinnie for the launch of its EB 2D Mammo Narrative Model, a vision-language model designed to translate 2D mammography images into structured narrative language for breast imaging workflows. The model is intended to support developers building AI-assisted radiology applications and was trained on more than 200,000 mammography studies from multiple U.S. sites.

HOPPR introduced its HOPPR® EB 2D Mammo Narrative Model, a vision-language model designed to translate 2D mammography images into narrative language describing imaging characteristics. Trained on more than 200,000 mammography studies from multiple sites across the U.S., the model is designed as a foundational software component for developers building AI-assisted breast imaging and radiology workflow applications.

Published in Axis Imaging News, this article covers the release of the HOPPR MC Chest Radiography Narrative Model, a vision-language model from HOPPR designed to translate chest X-rays into structured narrative text for radiology workflow applications. The piece highlights the model’s focus on traceability, validation, and integration into real-world imaging environments.

Published in Signify Research, this industry update explores recent developments in medical imaging AI, including funding activity, reimbursement and regulatory changes, and the growing momentum around vision-language models. In the publication’s New Product Announcements section, HOPPR is featured for the launch of its MC Chest Radiography Narrative Model, designed to generate structured narrative text from chest X-rays for radiology workflow applications.

Published in TechRadar, Khan Siddiqui MD, CEO of HOPPR, discusses how AI foundries are reshaping the future of enterprise AI by giving organizations the infrastructure needed to build, orchestrate, and scale AI systems more effectively. The piece explores the shift from isolated AI tools toward integrated platforms designed for real-world operational deployment across industries, including healthcare.

A MedCity News article highlights how HOPPR and NVIDIA are focused on scaling healthcare AI by enabling teams to build, fine-tune, and integrate models into real-world workflows. Their approach emphasizes infrastructure and accessibility to support broader adoption of imaging AI.

As highlighted by The Imaging Wire, HOPPR’s recent releases reflect its focus on foundation models as a flexible alternative to traditional point-solution AI, enabling developers to build and adapt medical imaging applications across workflows.

As reported by AuntMinnie, HOPPR has expanded its medical imaging AI portfolio with a chest radiography narrative model that translates X-rays into structured, descriptive text for use in radiology reporting and workflow applications.

HOPPR was featured in TipRanks for launching its chest radiography vision-language model, designed to translate images into structured text and support radiology workflows.

HOPPR was featured in HealthTech HotSpot for launching its chest radiography vision-language model, designed to translate images into structured text and support radiology workflows.

HOPPR has introduced the MC Chest Radiography Narrative Model, a vision language model that translates chest X-rays into descriptive text. Designed as a flexible component, it enables developers to build applications for radiology reporting and image-based workflows, with support for traceability and validation.

IT Brew Highlights HOPPR and NVIDIA Collaboration in Healthcare AI

IT Brew features HOPPR’s collaboration with NVIDIA, highlighting how the integration of NVIDIA’s open models into the HOPPR™ AI Foundry supports scalable AI development and evolving clinical workflows. The coverage reflects a broader industry shift toward deploying AI as core infrastructure in healthcare.

Certification validates that HOPPR is meeting rigorous cybersecurity and data protection standards through independent assessment and assurance, building on the company's recent SOC 2 Type II attestation. 

Khan Siddiqui, MD, CEO of HOPPR, authored a feature in Medical Design & Outsourcing exploring the shift toward imaging AI that adapts to real-world clinical environments, moving beyond one-size-fits-all models.

HOPPR announced it has achieved SOC 2 Type II attestation, providing independent validation that its security controls are designed effectively and operate consistently over time. The attestation reinforces the company’s commitment to maintaining structured safeguards across the HOPPR™ AI Foundry, supporting organizations developing AI applications for medical imaging with secure, reliable infrastructure.

Healthcare Digital featured HOPPR AI Foundry and the addition of NVIDIA’s reasoning and generative AI models, expanding tools for developing transparent and advanced medical imaging AI applications.

AI Magazine covered the addition of NVIDIA’s reasoning and generative AI models to HOPPR AI Foundry, expanding tools for building and refining medical imaging AI applications.

HealthTech HotSpot highlighted HOPPR in its HIMSS26 roundup on cloud-native enterprise imaging platforms and the growing deployment of clinical AI at health system scale.

AuntMinnie.com reported on the expansion of HOPPR AI Foundry with the addition of open NVIDIA medical imaging models, enabling developers to build, fine-tune, and deploy radiology AI workflows on NVIDIA-accelerated infrastructure.