RADPAIR and AdvaHealth Solutions join forces to embed AI reporting directly into cloud-native PACS workflows

The convergence of artificial intelligence and medical imaging is accelerating as companies race to solve the growing demand for faster, more accurate radiology reporting. RADPAIR, a company known for its generative AI-powered diagnostic tools, has announced a strategic partnership with AdvaHealth Solutions, the cloud-native PACS provider behind AdvaPACS. The collaboration will integrate RADPAIR’s AI reporting engine directly into AdvaPACS, offering hospitals and imaging centers an optional but highly powerful upgrade for their workflows.

The move signals a step-change in the evolution of radiology software, shifting from siloed legacy systems toward AI-ready, cloud-based environments that promise to reduce reporting bottlenecks while addressing the mounting problem of radiologist burnout. By embedding RADPAIR’s AI-driven efficiencies into AdvaHealth’s scalable platform, both companies are positioning themselves at the heart of healthcare’s digital transformation.

How does the RADPAIR and AdvaHealth Solutions integration reshape the radiology reporting workflow for clinicians and imaging centers?

The integration allows radiologists working on AdvaPACS to incorporate RADPAIR’s AI reporting capabilities directly within their existing environment, without switching platforms or relying on third-party bolt-ons. This streamlined approach ensures that diagnostic imaging can move seamlessly from analysis to final report in a single ecosystem.

AdvaPACS, already a leading choice in Asia for cloud-native PACS deployments, offers unlimited user access and elastic scalability—two features that address the growing demand for cross-site collaboration and data resilience. By combining this foundation with RADPAIR’s AI, hospitals can deliver faster turnaround times, standardized reporting quality, and improved diagnostic confidence.

Executives from both companies described the partnership as an inflection point. AdvaHealth Solutions’ Chief Operating Officer Lynette Fong emphasized that the collaboration fulfilled the company’s mission to liberate imaging workflows from legacy constraints. Meanwhile, RADPAIR’s Chief Executive Officer Dr. Avez Rizvi framed the initiative as part of RADPAIR’s global push to restore efficiency and even joy to the reporting process for overburdened radiologists.

Why is the healthcare sector increasingly adopting AI-driven radiology tools to combat burnout and efficiency challenges?

The partnership between RADPAIR and AdvaHealth Solutions reflects a broader trend within healthcare technology: the urgent push to deploy AI not as a novelty but as a practical necessity. Radiology departments worldwide are grappling with shortages of skilled professionals, rising scan volumes, and mounting stress levels among clinicians. Studies have shown that radiologists can spend up to 70 percent of their working hours on repetitive tasks such as measurements, annotations, and drafting preliminary reports.

AI-driven solutions like RADPAIR’s reporting engine are designed to shoulder these burdens. By automating routine aspects of analysis while maintaining human oversight for complex cases, the technology reduces fatigue, lowers error risks, and accelerates decision-making. For hospitals operating in regions with constrained resources—such as parts of Southeast Asia, where AdvaHealth has established a strong market presence—AI integration offers not just efficiency gains but also access equity, allowing smaller facilities to provide advanced reporting without additional staff.

The issue of burnout has also emerged as a global concern in the post-pandemic era. Demand for diagnostic imaging skyrocketed during COVID-19, exposing bottlenecks that many systems still struggle to address. Investors and healthcare administrators now see AI not only as an innovation but as a core operational safeguard, with market research suggesting that AI in medical imaging could surpass $10 billion in annual revenues by 2030.

What competitive advantage does embedding AI directly into a cloud-native PACS environment provide over legacy add-on models?

Historically, radiology AI tools have been sold as standalone software, often requiring additional installation, training, and maintenance. While these add-ons provided incremental benefits, they created fragmented workflows that slowed adoption. By embedding AI natively into AdvaPACS, RADPAIR and AdvaHealth Solutions are removing one of the biggest adoption barriers—ease of integration.

The shift from on-premises PACS to cloud-native platforms has also been pivotal. Legacy systems struggled with scalability, licensing limits, and infrastructure costs. AdvaPACS’ cloud foundation means healthcare providers can scale up user access instantly, connect remote sites without complex VPNs, and safeguard data with modern cloud security standards. The AI-enhanced version of this platform represents what many analysts describe as “future-proofing” radiology departments.

For hospitals and imaging centers, the practical advantage lies in cost predictability and operational resilience. Instead of maintaining multiple vendor relationships or investing in heavy IT infrastructure, administrators can now rely on a single, integrated ecosystem where AI, cloud storage, and collaborative workflows converge.

How might this partnership influence global adoption trends, particularly in Asia and emerging healthcare markets?

The timing of the partnership with AdvaHealth Solutions is significant because Asia has emerged as one of the fastest-growing healthcare technology markets. With rising investments in hospital digitization, cloud-native PACS adoption has outpaced that of several Western markets. AdvaHealth Solutions, headquartered in Asia and with a strong presence in regional hospitals, is well-positioned to act as a launchpad for RADPAIR’s expansion.

Industry observers note that Asian hospitals, often less tied to legacy infrastructure than their U.S. or European counterparts, can leapfrog directly into cloud-AI models. This phenomenon mirrors the way mobile banking bypassed traditional banking infrastructure in certain regions. By entering through Asia, RADPAIR may not only capture significant market share quickly but also establish itself as a standard-setter before competitors gain traction.

The companies are already positioning the partnership as a showcase at the Singapore Congress of Radiology (SGCR) 2025. This venue—attended by thousands of radiologists, imaging specialists, and healthcare decision-makers—provides a timely stage to demonstrate how integrated AI reporting can reshape diagnostic workflows.

What could investors and healthcare technology analysts expect from RADPAIR’s broader expansion strategy following this announcement?

While RADPAIR remains privately held, the company’s trajectory signals potential interest from both venture investors and strategic acquirers. The global medical imaging AI market is highly fragmented, with startups frequently partnering with or being acquired by PACS vendors, cloud providers, or large medtech companies. Analysts see this type of collaboration as a precursor to further M&A activity in the sector.

Investor sentiment around RADPAIR is likely to be shaped by the scalability of its partnerships and the depth of integration achieved. By embedding into AdvaPACS rather than positioning itself as an external add-on, RADPAIR gains recurring revenue potential and long-term stickiness with hospital clients. This business model is attractive to private equity and institutional investors who are increasingly seeking exposure to the healthcare AI market.

If RADPAIR pursues further partnerships beyond Asia, especially with North American or European PACS providers, the company could accelerate its visibility ahead of a possible public listing. Institutional flows into healthtech funds have already been rising post-2023, with global venture capital firms such as General Catalyst, Sequoia, and SoftBank making significant bets on AI in healthcare.

The RADPAIR–AdvaHealth Solutions partnership is more than a simple vendor agreement. It represents a decisive shift in the way AI is being embedded into healthcare infrastructure: not as a peripheral tool but as an integrated, scalable foundation. For radiologists facing rising workloads and burnout, the promise of AI-driven efficiency embedded directly in their everyday tools could be transformative. For healthcare administrators, it offers a cost-effective pathway to modernization. And for investors, it signals another milestone in the rapidly consolidating field of healthcare AI.

As the partnership is unveiled at SGCR 2025, the global radiology community will be watching closely to see if this model becomes a new standard—an indicator of how the healthcare AI arms race may unfold across both developed and emerging markets.