This is a MARKET SURVEY. The scope of services includes providing an open and manufacturer-neutral platform for standardized integration, management, and execution of AI-supported analytical procedures within a nationwide research infrastructure for digital pathology. For the establishment and sustainable operation of the research infrastructure, a platform is required that enables standardized integration, interoperable operation, and sustainable management of AI-based applications within existing research infrastructures. The platform should integrate AI applications from different manufacturers via standardized interfaces and support their uniform use within cross-location research environments. From the perspective of the university hospital, the demand can currently only be met by one market participant. This market survey is conducted to verify this assumption. The contracting authority reserves the right to take further procurement law steps.
PAR-0001
MARKET SURVEY according to § 28 VgV - Provision of an Open and Manufacturer-Neutral Platform for Standardized Integration, Management, and Execution of AI-Supported Analytical Procedures.
The services to be procured must, in particular, meet the following professional and technical requirements. - The platform must enable the standardized integration, management, and execution of AI-supported analytical procedures from different manufacturers within a shared research environment. - The platform must support the full lifecycle of AI-based applications, including integration, validation, deployment, versioning, execution, updating, and decommissioning. - The platform must allow standardized incorporation of new AI applications without requiring fundamental adjustments to the existing platform architecture or connected primary systems. - The platform must support uniform provision and use of AI-supported analytical procedures within cross-location research networks. - The platform must enable management of scientific cohorts and their linkage with digital whole-slide images and other research data. - The platform must provide open and standardized interfaces for connecting pathology information systems, image management systems, and research data platforms. - The platform must be able to process proprietary whole-slide image formats from different scanner manufacturers and integrate them into standardized analysis processes. - The platform must support anonymization and pseudonymization procedures for digital whole-slide images including DICOM-based image formats. - The platform must support container-based deployment and execution concepts for scalable operation of AI-based applications within distributed research environments. - The platform must be based on open, documented, and reusable software components and ensure their extensibility. - The platform must enable interoperable operation of AI-based applications within existing and future research infrastructures. - The platform must support manufacturer-neutral integration of various AI applications and their standardized orchestration within a common infrastructure. - The provided components must be maintainable in the long term, documented, and sustainably further developable. - The platform must allow continuous integration of new AI applications, scanner technologies, image formats, and technical advancements without requiring fundamental changes to the system architecture. - The platform must be built upon established open standards and support their future development.