Clinical Decision Support Systems Development, Deployment for Diagnosis Decisions in Possible Oncology Cases

DATASURGERY is a health technology company developing AI-driven clinical decision support solutions for radiology. Based in Istanbul, the company develops next-generation technologies designed to reduce inter-physician variability and interpretation time, enhance diagnostic performance through high-sensitivity and high-accuracy models, and support more efficient and standardized clinical workflows. Its R&D and innovation activities are conducted within the framework of ISO 27001, ISO 13485, ISO 27701 and ISO 9001 management systems.

DATASURGERY combines expertise in artificial intelligence, medical image processing, radiological imaging and clinical data management with experience in developing clinical decision support systems. This multidisciplinary capability enables the company to contribute to collaborative R&D projects both by developing new technologies and by adapting, extending and validating its existing solutions for different clinical needs and use cases.

Within collaborative projects, DATASURGERY's technologies can be integrated into project-specific applications and evaluated through pilot studies in clinical environments. Existing models can be enhanced with new clinical and imaging datasets to assess and improve their performance, generalizability and applicability across different patient populations, healthcare settings and real-world scenarios.

The company can also support the entire data preparation process required for AI development, including data organization, anonymization, annotation and expert-supported labeling of medical images and associated clinical information. New data modalities, clinical variables and annotations can be incorporated into existing datasets and AI pipelines, allowing models to be further developed or adapted according to specific project objectives.

Building on its technological infrastructure, it can develop new AI modules and clinical decision support functionalities and evaluate them in real-world use scenarios. This approach enables project outcomes to progress from algorithm development to pilot implementation, clinical workflow integration and real-world validation, while generating evidence on usability, performance and potential clinical impact.

With its combination of established AI technologies, medical data expertise and R&D capabilities, DATASURGERY can contribute as both a technology provider and an industry R&D partner in collaborative healthcare calls as DIGITAL-2026-AI-PILOTING-10-SCREENING.