Healthcare AI Capabilities and Contribution to Advanced Digital Skills for AI Uptake in Health

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 AI 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 and integrating AI-based clinical decision support systems. This multidisciplinary capability enables the company to contribute to collaborative healthcare projects both by developing new AI technologies and by adapting, extending and validating existing solutions for different clinical needs, user groups and healthcare environments.

The company has experience across the AI development lifecycle, including medical data organization, anonymization, annotation and expert-supported labeling, as well as AI model development, integration and evaluation. New clinical variables, imaging data and annotations can be incorporated into existing datasets and AI pipelines, allowing models and decision support functionalities to be further developed and assessed across different patient populations and real-world clinical scenarios. DATASURGERY can also support the transition from algorithm development to pilot implementation, clinical workflow integration and real-world validation, generating evidence on system performance, usability and potential clinical impact.

Building on this technological and clinical AI experience, It can contribute to the DIGITAL-2026-SKILLS-10-DIGITAL-HEALTH-STEP call as both a healthcare AI technology provider and an industry partner supporting the development of advanced digital skills for AI uptake in healthcare. The company can translate its technical expertise and real-world AI development experience into practical use cases, training scenarios and hands-on learning activities that help healthcare professionals understand, evaluate and effectively use AI-supported technologies in clinical practice.

In particular, DATASURGERY can contribute to training and capacity-building activities covering AI-assisted medical image interpretation, medical data preparation and annotation, clinical validation of AI systems, human-AI interaction, integration of AI-based decision support into clinical workflows, and the responsible use of AI in healthcare. Existing AI-based clinical decision support solutions can also be incorporated into demonstrations, workshops, pilot training programmes and real-world learning environments, enabling healthcare professionals to gain practical experience with AI technologies rather than focusing solely on theoretical AI education.