A project aimed at developing artificial intelligence models for diagnosing rare diseases has been launched in Lithuania.
In Lithuania, a team of experts is implementing a project that aims to enhance the diagnosis of rare diseases using artificial intelligence. The team consists of representatives from several institutions, including the Rare Diseases Coordination Center at Vilnius University Hospital, the Faculty of Medicine, and the State Data Agency. The project focuses on utilizing population data to create AI models that assess the risk of developing conditions such as Alport syndrome.
The initiative started with interdisciplinary research among scientists, highlighting the collaborative effort across various fields to tackle the challenges of rare disease diagnosis. According to RimantÄ— ÄŒerka, the coordinator of the Rare Diseases Coordination Center, the primary goal is to develop recognition systems for conditions within the Alport spectrum. However, there are also expectations that the project will explore the potential for models related to other rare diseases, thereby broadening its impact.
This development is significant not only for patients suffering from rare diseases but also for the healthcare system in Lithuania, as it integrates advanced technology to improve diagnostic processes. The successful implementation of these AI models could potentially streamline diagnosis and lead to better patient outcomes, marking a notable advancement in the medical field in the region.
