RagaAI × DeepHealth Collaboration

RagaAI × DeepHealth Collaboration

RagaAI × DeepHealth Collaboration

Dec 4, 2025

We’re excited to announce a major milestone: RagaAI Inc. has entered a strategic partnership with DeepHealth, an industry leader in imaging and clinical AI. DeepHealth will now power its next-generation Radiology AI Agents using RagaAI Catalyst, our failure-proof AI agent platform built to enhance accuracy, safety, and operational efficiency in clinical workflows.

This collaboration marks the start of a new era in autonomous radiology—where AI agents support clinicians with precision, transparency, and real-time intelligence.

About the Collaboration

DeepHealth will integrate Catalyst across its radiology platform to strengthen workflow automation, error detection, protocol validation, and intelligent reporting. By combining DeepHealth’s imaging expertise with Catalyst’s safety-driven automation, the partnership aims to make radiology faster, safer, and more consistent for hospitals worldwide.

The Future of AI in Radiology

Radiology teams today face rising scan volumes, increasing complexity, and pressure for rapid turnaround. AI agents are quickly becoming essential infrastructure. Catalyst helps reduce diagnostic errors by up to 25–40%, improves TAT across MRI/CT/X-ray workflows, enhances report consistency, and reduces clinician burnout by automating administrative and QA tasks. These improvements give radiologists more time to focus on patient care instead of manual review work.

Why Catalyst Stands Out

Catalyst is designed for high-stakes healthcare environments, delivering reliable automation with built-in safety checks and highly interpretable outputs. It identifies workflow and reporting issues before they become errors, detects irregularities instantly, ensures protocol fidelity, and automates tedious QA processes—all while integrating seamlessly with existing PACS, RIS, and reporting systems. Its plug-and-play design ensures zero workflow disruption, making it the preferred choice for DeepHealth’s AI agent platform.

Quick Insight—Industry Trends (2025)

With 90% of radiology departments planning to expand AI adoption and nearly half of healthcare errors occurring in workflows, the need for reliable automation has never been greater. AI agents like Catalyst can save teams over 150 hours of manual work per month and help hospitals improve compliance, audit readiness, and care quality at scale.

What’s Coming Next

Over the next few weeks, we’ll be sharing a deeper technical walkthrough of the RagaAI Inc. × DeepHealth integration, followed by a case study from real-world deployments. We will also host a webinar titled “AI Agents in Clinical Workflows—The Future of Healthcare Automation.” Stay tuned for announcements.

We’re excited to announce a major milestone: RagaAI Inc. has entered a strategic partnership with DeepHealth, an industry leader in imaging and clinical AI. DeepHealth will now power its next-generation Radiology AI Agents using RagaAI Catalyst, our failure-proof AI agent platform built to enhance accuracy, safety, and operational efficiency in clinical workflows.

This collaboration marks the start of a new era in autonomous radiology—where AI agents support clinicians with precision, transparency, and real-time intelligence.

About the Collaboration

DeepHealth will integrate Catalyst across its radiology platform to strengthen workflow automation, error detection, protocol validation, and intelligent reporting. By combining DeepHealth’s imaging expertise with Catalyst’s safety-driven automation, the partnership aims to make radiology faster, safer, and more consistent for hospitals worldwide.

The Future of AI in Radiology

Radiology teams today face rising scan volumes, increasing complexity, and pressure for rapid turnaround. AI agents are quickly becoming essential infrastructure. Catalyst helps reduce diagnostic errors by up to 25–40%, improves TAT across MRI/CT/X-ray workflows, enhances report consistency, and reduces clinician burnout by automating administrative and QA tasks. These improvements give radiologists more time to focus on patient care instead of manual review work.

Why Catalyst Stands Out

Catalyst is designed for high-stakes healthcare environments, delivering reliable automation with built-in safety checks and highly interpretable outputs. It identifies workflow and reporting issues before they become errors, detects irregularities instantly, ensures protocol fidelity, and automates tedious QA processes—all while integrating seamlessly with existing PACS, RIS, and reporting systems. Its plug-and-play design ensures zero workflow disruption, making it the preferred choice for DeepHealth’s AI agent platform.

Quick Insight—Industry Trends (2025)

With 90% of radiology departments planning to expand AI adoption and nearly half of healthcare errors occurring in workflows, the need for reliable automation has never been greater. AI agents like Catalyst can save teams over 150 hours of manual work per month and help hospitals improve compliance, audit readiness, and care quality at scale.

What’s Coming Next

Over the next few weeks, we’ll be sharing a deeper technical walkthrough of the RagaAI Inc. × DeepHealth integration, followed by a case study from real-world deployments. We will also host a webinar titled “AI Agents in Clinical Workflows—The Future of Healthcare Automation.” Stay tuned for announcements.

We’re excited to announce a major milestone: RagaAI Inc. has entered a strategic partnership with DeepHealth, an industry leader in imaging and clinical AI. DeepHealth will now power its next-generation Radiology AI Agents using RagaAI Catalyst, our failure-proof AI agent platform built to enhance accuracy, safety, and operational efficiency in clinical workflows.

This collaboration marks the start of a new era in autonomous radiology—where AI agents support clinicians with precision, transparency, and real-time intelligence.

About the Collaboration

DeepHealth will integrate Catalyst across its radiology platform to strengthen workflow automation, error detection, protocol validation, and intelligent reporting. By combining DeepHealth’s imaging expertise with Catalyst’s safety-driven automation, the partnership aims to make radiology faster, safer, and more consistent for hospitals worldwide.

The Future of AI in Radiology

Radiology teams today face rising scan volumes, increasing complexity, and pressure for rapid turnaround. AI agents are quickly becoming essential infrastructure. Catalyst helps reduce diagnostic errors by up to 25–40%, improves TAT across MRI/CT/X-ray workflows, enhances report consistency, and reduces clinician burnout by automating administrative and QA tasks. These improvements give radiologists more time to focus on patient care instead of manual review work.

Why Catalyst Stands Out

Catalyst is designed for high-stakes healthcare environments, delivering reliable automation with built-in safety checks and highly interpretable outputs. It identifies workflow and reporting issues before they become errors, detects irregularities instantly, ensures protocol fidelity, and automates tedious QA processes—all while integrating seamlessly with existing PACS, RIS, and reporting systems. Its plug-and-play design ensures zero workflow disruption, making it the preferred choice for DeepHealth’s AI agent platform.

Quick Insight—Industry Trends (2025)

With 90% of radiology departments planning to expand AI adoption and nearly half of healthcare errors occurring in workflows, the need for reliable automation has never been greater. AI agents like Catalyst can save teams over 150 hours of manual work per month and help hospitals improve compliance, audit readiness, and care quality at scale.

What’s Coming Next

Over the next few weeks, we’ll be sharing a deeper technical walkthrough of the RagaAI Inc. × DeepHealth integration, followed by a case study from real-world deployments. We will also host a webinar titled “AI Agents in Clinical Workflows—The Future of Healthcare Automation.” Stay tuned for announcements.

We’re excited to announce a major milestone: RagaAI Inc. has entered a strategic partnership with DeepHealth, an industry leader in imaging and clinical AI. DeepHealth will now power its next-generation Radiology AI Agents using RagaAI Catalyst, our failure-proof AI agent platform built to enhance accuracy, safety, and operational efficiency in clinical workflows.

This collaboration marks the start of a new era in autonomous radiology—where AI agents support clinicians with precision, transparency, and real-time intelligence.

About the Collaboration

DeepHealth will integrate Catalyst across its radiology platform to strengthen workflow automation, error detection, protocol validation, and intelligent reporting. By combining DeepHealth’s imaging expertise with Catalyst’s safety-driven automation, the partnership aims to make radiology faster, safer, and more consistent for hospitals worldwide.

The Future of AI in Radiology

Radiology teams today face rising scan volumes, increasing complexity, and pressure for rapid turnaround. AI agents are quickly becoming essential infrastructure. Catalyst helps reduce diagnostic errors by up to 25–40%, improves TAT across MRI/CT/X-ray workflows, enhances report consistency, and reduces clinician burnout by automating administrative and QA tasks. These improvements give radiologists more time to focus on patient care instead of manual review work.

Why Catalyst Stands Out

Catalyst is designed for high-stakes healthcare environments, delivering reliable automation with built-in safety checks and highly interpretable outputs. It identifies workflow and reporting issues before they become errors, detects irregularities instantly, ensures protocol fidelity, and automates tedious QA processes—all while integrating seamlessly with existing PACS, RIS, and reporting systems. Its plug-and-play design ensures zero workflow disruption, making it the preferred choice for DeepHealth’s AI agent platform.

Quick Insight—Industry Trends (2025)

With 90% of radiology departments planning to expand AI adoption and nearly half of healthcare errors occurring in workflows, the need for reliable automation has never been greater. AI agents like Catalyst can save teams over 150 hours of manual work per month and help hospitals improve compliance, audit readiness, and care quality at scale.

What’s Coming Next

Over the next few weeks, we’ll be sharing a deeper technical walkthrough of the RagaAI Inc. × DeepHealth integration, followed by a case study from real-world deployments. We will also host a webinar titled “AI Agents in Clinical Workflows—The Future of Healthcare Automation.” Stay tuned for announcements.

We’re excited to announce a major milestone: RagaAI Inc. has entered a strategic partnership with DeepHealth, an industry leader in imaging and clinical AI. DeepHealth will now power its next-generation Radiology AI Agents using RagaAI Catalyst, our failure-proof AI agent platform built to enhance accuracy, safety, and operational efficiency in clinical workflows.

This collaboration marks the start of a new era in autonomous radiology—where AI agents support clinicians with precision, transparency, and real-time intelligence.

About the Collaboration

DeepHealth will integrate Catalyst across its radiology platform to strengthen workflow automation, error detection, protocol validation, and intelligent reporting. By combining DeepHealth’s imaging expertise with Catalyst’s safety-driven automation, the partnership aims to make radiology faster, safer, and more consistent for hospitals worldwide.

The Future of AI in Radiology

Radiology teams today face rising scan volumes, increasing complexity, and pressure for rapid turnaround. AI agents are quickly becoming essential infrastructure. Catalyst helps reduce diagnostic errors by up to 25–40%, improves TAT across MRI/CT/X-ray workflows, enhances report consistency, and reduces clinician burnout by automating administrative and QA tasks. These improvements give radiologists more time to focus on patient care instead of manual review work.

Why Catalyst Stands Out

Catalyst is designed for high-stakes healthcare environments, delivering reliable automation with built-in safety checks and highly interpretable outputs. It identifies workflow and reporting issues before they become errors, detects irregularities instantly, ensures protocol fidelity, and automates tedious QA processes—all while integrating seamlessly with existing PACS, RIS, and reporting systems. Its plug-and-play design ensures zero workflow disruption, making it the preferred choice for DeepHealth’s AI agent platform.

Quick Insight—Industry Trends (2025)

With 90% of radiology departments planning to expand AI adoption and nearly half of healthcare errors occurring in workflows, the need for reliable automation has never been greater. AI agents like Catalyst can save teams over 150 hours of manual work per month and help hospitals improve compliance, audit readiness, and care quality at scale.

What’s Coming Next

Over the next few weeks, we’ll be sharing a deeper technical walkthrough of the RagaAI Inc. × DeepHealth integration, followed by a case study from real-world deployments. We will also host a webinar titled “AI Agents in Clinical Workflows—The Future of Healthcare Automation.” Stay tuned for announcements.

Cta Shape

Get Started

Join 5,000+ companies growing with RagaAI

Evaluate all stages of Agentic AI workflows and deploy with confidence.

Cta Image
Cta Image
Cta Shape

Get Started

Join 5,000+ companies growing with RagaAI

Evaluate all stages of Agentic AI workflows and deploy with confidence.

Cta Image
Cta Image

Get Started

Join 5,000+ companies growing with RagaAI

Evaluate all stages of Agentic AI workflows and deploy with confidence.

Cta Image
Cta Image