Development of Clinical Decision Support Systems and Fostering Innovation in Diagnosis and Follow-Up in Radiology
Development of Clinical Decision Support Systems and Fostering Innovation in Diagnosis and Follow-Up in Radiology
This project aims to develop an AI-powered Clinical Decision Support System that enhances diagnostic accuracy and follow-up in radiology. The system accelerates diagnosis, reduces invasive procedures, and ensures compliance with international standards. It fosters innovation, improves patient outcomes, and promotes scalable, cost-effective AI adoption in healthcare.
- B14 eHealth related services and applications
- B6 Cloud Services
- K2 Artificial Intelligence
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Contact
Company: DATASURGERY Software and Consulting Inc.
Type of Organisation: SME
Country: Turkey
Web: https://www.datasurgery.com.tr/
Telephone:
Brief description of my Organisation
DATASURGERY Company, which was established to produce new generation technologies that reduce the difference in interpretation and evaluation time between physicians, increase diagnosis/diagnosis success with high sensitivity and accuracy, and improve the quality of life of patients, is working on artificial intelligence-based clinical decision support solutions in the field of radiology. It operates within the framework of ISO 27001 Information Security Management System, ISO 13485 Medical Device Quality Management System, ISO 27701 Personal Data Management System and ISO 9001 Quality Management Systems and conducts its R&D and innovation studies based in Istanbul. The first product of the enterprise is a clinical decision support software aimed at predicting the malignancy risk of thyroid nodules that cause thyroid cancer with non-invasive methods.
