On March 30–31, a hackathon titled “Data Science in Medicine” was held at the Faculty of Medicine of the University of Montenegro.
During the hackathon, PhD students from the study programmes in Medicine, Dentistry, and Pharmacy engaged in interdisciplinary discussions on the application of modern statistical methods and data science tools in contemporary medical practice. A particular focus was placed on exploring opportunities to improve healthcare systems through digital solutions.
Participants examined how data science can contribute to enhancing the efficiency of the Emergency Center, as well as how existing IT systems can be improved to enable more accurate risk assessments for cardiovascular and other diseases. Additionally, discussions addressed the use of data science methods for monitoring medical devices, with the aim of preventing malfunctions and increasing patient safety.
This activity represents the first in a series of planned initiatives within the Incubation Labs, an innovative concept designed to bring students together in a collaborative environment that integrates medical knowledge and data science, fostering the development of practical, interdisciplinary solutions.
The hackathon was organized as part of the AI2MED – Artificial Intelligence in Medical Care: Reducing Errors and Saving Lives project. This project focuses on enhancing the knowledge and skills of healthcare professionals and data scientists in the application of artificial intelligence in medicine. It brings together partners from several European countries with the goal of developing cross-sectoral and interdisciplinary training programmes.
Through initiatives such as the Incubation Labs, the AI2MED project contributes to the development of innovative solutions aimed at improving the quality of healthcare, increasing system efficiency, and achieving better patient outcomes.
