Tender seeks suppliers to modernise diagnostic imaging with AI support, reflecting a wider move toward integrated digital systems in hospital care.
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An AI-driven upgrade to diagnostic imaging at Szpitale Pomorskie Sp. z o.o. aims to bring artificial intelligence directly into CT, MR, MG and X-ray reporting, bundling software, hardware and service into a single procurement and underlining how radiology is moving to the centre of hospital digital strategies.
Published on 26th May 2026, the hospital imaging system modernisation tender sets out a concise but ambitious scope. The buyer plans to modernise its diagnostic imaging post‑processing system and add an AI‑based diagnostic support layer for CT, MR, MG and X‑ray examinations.
The order goes beyond pure software. It includes the necessary hardware to run the upgraded system and associated service provisions. That places responsibility for performance, reliability and lifecycle support firmly with the supplier side, rather than treating AI merely as an add‑on module.
Although the notice does not spell out detailed technical requirements, the combination of post‑processing and AI‑based decision support suggests a focus on how images are reviewed and reported, not just how they are acquired. For potential bidders, the core deliverable is a working environment in which clinicians can access enhanced imaging analysis across several modalities from a unified platform.
The work could reshape day‑to‑day radiology workflows in the hospital, with algorithms helping to flag findings, prioritise cases or support reporting across a broad imaging portfolio.
This move sits within a wider pattern of imaging and IT modernisation across the hospital sector. In June 2026, Uniwersytecki Szpital Kliniczny im. Fryderyka Chopina w Rzeszowie launched a tender for the expansion of its hospital radiological system with AI tools. That project combines AI functionality with the purchase of 30 DICOM review workstations and integration with the existing system as part of a digital transformation project in healthcare.
At national level, digital imaging is also in scope. In January 2026, Centrum e‑Zdrowia went to market for the delivery, implementation and maintenance of AI models for analysing DICOM imaging data, including training and user support, under the e‑Health KPO project. That notice points to a central effort to build and maintain AI models for imaging, potentially to be drawn on by multiple care providers.
Hardware modernisation continues in parallel. A series of tenders in early 2026 focus on scanners and rooms themselves: a new CT scanner with associated building works at Wojewódzki Szpital Specjalistyczny nr 4 w Bytomiu, a modernisation of a 1.5T MRI device and radiology department in Łódź, and the creation of diagnostic rooms for an angiograph and MRI at St. Wojciech Hospital in Gdańsk.
Several of these equipment projects are explicitly financed through broader programmes. The cardiology‑focused device purchase at Wojewódzki Szpital Zespolony im. dr. Romana Ostrzyckiego w Koninie, published in January 2026, is linked to a Hospital Infrastructure Modernization Program financed under the National Recovery and Resilience Plan. The MRI upgrade in Łódź is financed through a national project aimed at improving healthcare infrastructure.
Against that backdrop, the Szpitale Pomorskie Sp. z o.o. tender concentrates on the software‑intensive part of imaging: the post‑processing systems and the intelligence layered on top of them. It complements the wave of scanner renewals and construction works by targeting how the resulting data is handled, interpreted and used in clinical decisions.
Radiology is not the only domain embracing AI in recent health procurements. In December 2025, Samodzielny Publiczny Wojewódzki Szpital Zespolony w Szczecinie issued a notice for AI‑based tools and systems to optimise hospital processes and staff organisation, with integration into existing healthcare systems built in from the start.
In April 2026, Regionalny Szpital Specjalistyczny im. dr Władysława Biegańskiego went further by seeking the delivery and integration of an AI/ML platform to support both medical and management processes, backed by training and technical support. Here, AI is positioned as a horizontal capability spanning clinical care and administration.
Digital transformation projects are also explicitly incorporating AI elements. In March 2026, Mazowiecki Szpital Specjalistyczny im. dr. Józefa Psarskiego w Ostrołęce tendered for a digital transformation of the hospital that combines AI implementation, medical documentation digitisation, telemedicine service development, server room modernisation and integration of a document digitisation system.
On the diagnostic side, Szpital Specjalistyczny w Brzozowie Podkarpacki Ośrodek Onkologiczny is procuring digital services that include an AI system for pathomorphology and operating room evaluations. That points to pathology and intra‑operative decision‑making as further frontiers for AI, alongside radiology.
Together, these notices show AI being applied across a spectrum of use cases: imaging analysis, workflow optimisation, hospital management and specialised diagnostics. The Szpitale Pomorskie Sp. z o.o. imaging post‑processing project fits into this pattern as a focused but significant step in embedding AI into routine clinical practice.
The emphasis on hardware and service in the imaging post‑processing tender mirrors wider procurement trends. Many current projects pair software implementation with infrastructure upgrades, training and long‑term support contracts.
For example, the Zespół Opieki Zdrowotnej IT modernisation project published in December 2025 involves modernising and implementing IT systems, delivering cloud infrastructure, integrating a RIS/PACS system and purchasing digitisation equipment for medical documentation. The focus is not only on new software, but on the infrastructure needed to run it and the ability to digitise and manage large volumes of clinical data.
Similarly, the teleinformatics expansion at Centrum Pulmonologii i Torakochirurgii w Bystrej, published in May 2026, covers the delivery and expansion of teleinformatics infrastructure and IT systems in seven packages, aimed at enhancing healthcare efficiency and safety through modern digital solutions.
Patient safety and data security are increasingly explicit requirements. Zespół Opieki Zdrowotnej w Skarżysku‑Kamienne is procuring service and technical support for its X‑ray dose monitoring system, with the aim of improving healthcare efficiency and data security as part of a digital transformation project. Other notices, such as the medical equipment procurement for clinics at SP ZOZ w Siemiatyczach in April 2026, emphasise compliance with EU environmental standards when specifying new devices.
In this context, the inclusion of service provisions alongside AI software and hardware in the Szpitale Pomorskie Sp. z o.o. imaging modernisation is more than a formality. It signals an expectation that suppliers will support the system over time, keep algorithms and platforms updated, and work alongside clinical teams as use cases evolve.
The hospital’s imaging post‑processing upgrade is one of several AI‑enabled projects now moving from strategy documents into live tenders. With radiology, pathology, cardiology and hospital management systems all in scope across the recent notices, AI is becoming part of mainstream procurement rather than a marginal experiment.
For suppliers, the opportunity lies in bringing together robust imaging post‑processing, clinically acceptable AI tools, reliable hardware and long‑term service models. For health systems, the test will be whether these projects deliver faster, safer and more consistent care while fitting into wider digital transformation programmes and meeting demanding requirements on data security and environmental performance.
As contracts are awarded and implemented over the coming years, attention will turn to how well these AI‑enabled systems integrate with existing hospital platforms, how clinicians use them in practice and how national digital health projects, such as those under the e‑Health KPO and the National Recovery and Resilience Plan, influence the next wave of procurements.
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