“TIRONOD Decision-Support System” in the Clinical Management of Thyroid Nodules

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Abstract
Aim: This article was designed to examine the TIRONOD-Decision Support System, which was created to guide physicians in the evaluation of thyroid nodules, optimize diagnosis-treatment processes, and ensure its integration into clinical practice. The system ultimately aims to increase the quality of healthcare services by offering an innovative approach to the differential diagnosis of thyroid nodules. Material and Methods: The current status of the TIRONOD decision support system will be analyzed and integrated into clinical processes with an artificial intelligence and machine learning-based algorithm. The system is designed as a sensitive and predictive tool for malignancy risk assessment by combining clinical data, ultrasound imaging findings, and cytology results of nodule biopsies. Results: The system is expected to contribute to determining the necessity of biopsies, preventing unnecessary surgeries, and conducting cost-effectiveness analyses during patient management Conclusion: The TIRONOD Decision Support System aims to increase the quality of healthcare services by offering an innovative approach in the differential diagnosis of thyroid nodules. It is expected to be an exemplary model at both national and international levels.

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