Tender seeks storage, networking and diagnostic workstations to support an AI radiology system, highlighting rising demand for data-ready imaging services.
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Katowickie Centrum Onkologii is seeking suppliers to provide the hardware backbone for a new artificial intelligence (AI) system in its radiology department. The contract brings together storage, networking and diagnostic workstations with three years of support, signalling a move to embed AI into day-to-day imaging practice rather than treat it as a stand‑alone pilot.
Published on 9th March 2026, the contract notice covers the supply of equipment needed to launch an AI system in radiology. The scope includes installation, configuration, and 36 months of warranty and support. The order is divided into three packages, spanning disks, switches, diagnostic monitors and desktop computers, indicating a coordinated refresh of storage capacity, core network components and front‑line workstations.
The package design suggests the centre wants to prepare its radiology environment for AI workloads in a balanced way. Disks provide the storage capacity AI tools require for image datasets. Switches underpin the network paths between scanners, archives and workstations. Diagnostic monitors and desktop computers are essential at the clinician’s desk, where radiologists will view images and interact with AI outputs within their reporting workflow.
A notable feature of the notice is the emphasis on stability after go‑live: 36 months of warranty and support are bundled into the contract. While the document does not set out service levels, the length of cover points to a desire for predictable performance once the AI system is operational, and for a single supplier to stand behind both the hardware and its configuration.
The move sits alongside a string of imaging projects that bring AI closer to routine diagnostics. In September 2025, SZPITAL PRASKI P.W. PRZEMIENIENIA PAŃSKIEGO SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ launched a contract for the replacement of its RIS system and expansion of PACS servers with AI capabilities. That project aims for full integration with the hospital system and enables remote viewing and reporting of examinations, showing how imaging IT and AI are being tied directly into clinical workflows.
On a wider e‑health front, Centrum e‑Zdrowia signalled a central push on imaging AI when, in November 2025, it went to market for the supply, implementation and maintenance of AI models analysing DICOM imaging data. Those models are intended to integrate with an Intelligent Services Platform and come with training and user support, under the e‑Health KPO project. This indicates that AI for imaging is being addressed both at institutional level and through a shared digital services layer.
Clinical hardware is evolving in parallel. In September 2025, Białostockie Centrum Onkologii im. M. Skłodowskiej‑Curie w Białymstoku issued a notice for the supply of medical devices including CT scanners, radiotherapy management systems and dosimetry equipment, with installation, commissioning and staff training. As scanners and radiotherapy systems are renewed, the groundwork is laid for AI tools such as those planned in Katowice to work against a more modern imaging estate.
Beneath the AI layer, hospitals are also investing in basic digital capacity. In January 2026, Samodzielny Publiczny Zakład Opieki Zdrowotnej w Lubaczowie published a contract for the supply of computer equipment and expansion of network infrastructure to enhance digital services and ensure patient data security. That focus on networks and security echoes the Katowice oncology centre’s own interest in disks and switches, underlining how data‑heavy imaging relies on resilient, well‑governed infrastructure.
At the same time, several imaging projects show how equipment procurement is bound up with construction works, regulation and staff skills. On 8th January 2026, Specjalistyczny Szpital im. E. Szczeklika w Tarnowie sought suppliers for the delivery and installation of a CT scanner, coupled with adaptation of CT laboratory premises, preparation of documentation for legal approvals, personnel training, and adherence to environmental and equality principles. This combination of technology, facilities and governance is becoming typical for high‑end imaging investments.
Compliance requirements also shape recent tenders. On 3rd March 2026, Wojewódzki Szpital Zespolony w Kielcach issued a contract for the purchase, delivery, installation and commissioning of X‑ray devices, linked to adapting laboratory premises and meeting environmental standards. A week later, on 10th March 2026, Szpital Miejski w Gliwicach Sp. z o.o. advertised the delivery, installation and training for new imaging and radiological diagnostic equipment, requiring compliance with legal and technical standards and allowing equivalent solutions. AI‑ready radiology, as in Katowice, will have to coexist with this tightly regulated hardware environment.
Many of the current investments link directly to oncology pathways. In February 2026, Szpital Miejski w Siemianowicach Śląskich Sp. z o.o. launched a contract for the purchase of medical imaging diagnostic equipment as part of an oncology‑focused modernisation. The order covers an intraoperative X‑ray machine, a mobile bedside digital X‑ray machine and a mammograph, with delivery, installation, staff training and necessary certifications.
Similarly, on 16th March 2026, Uniwersytecki Szpital Kliniczny Nr 1 w Lublinie published a notice for the provision of medical equipment and apparatus to enhance oncological services, including installation, training and maintenance. These projects, like the Katowice oncology centre’s AI hardware tender, show oncology units using procurement to rebuild both imaging capacity and the support structures around it.
For suppliers, the Katowickie Centrum Onkologii contract is a clear opportunity in the intersection between IT infrastructure and clinical diagnostics. The buyer is looking not just for disks, switches, diagnostic monitors and desktop computers, but for a partner able to install and configure that equipment and provide 36 months of warranty and support. Vendors with experience in radiology environments and in integrating hardware into imaging systems are likely to find this kind of requirement familiar.
Across the recent run of procurement notices, a pattern is emerging: imaging departments are renewing scanners and X‑ray rooms, bolstering networks and storage, and beginning to plug AI into established RIS and PACS platforms. The Katowice oncology centre’s AI equipment tender fits squarely into that picture. Upcoming notices will show how far hospitals decide to extend AI beyond radiology and how closely local projects align with national e‑health initiatives centred on imaging data and shared AI models.
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