SIATE

SIATE (Artificial-Intelligence-based Clinical Decision-Support System for the personalisation of haemodialysis therapy) is a Research and Development project aimed at applying Artificial Intelligence to the management of patients on haemodialysis treatment The project arises from the need to improve the efficiency of dialysis therapy and to reduce the clinical complications responsible for high morbidity, mortality and healthcare costs. SIATE integrates data from dialysis devices and electronic medical records to enable more comprehensive and personalised patient monitoring: through machine-learning algorithms, the system will provide continuous support for clinical decisions and more effective treatment management.

The SIATE project envisages the creation of an integrated system capable of improving the monitoring and personalisation of haemodialysis therapy. The expected results include the implementation of an automated platform for the collection and analysis of clinical data, the development of predictive algorithms for the early identification of clinical critical issues and vascular-access malfunctions, and support for therapeutic decisions through advanced data-analysis tools. An improvement in patients' quality of life is also expected, together with a reduction in morbidity, mortality and admissions related to the complications of haemodialysis therapy, as well as a reduction in healthcare costs and support for telemedicine and home-dialysis models.