| Abstrakt: |
A study conducted by researchers at Medical University in Sofia, Bulgaria, explored the transferability of new artificial intelligence methods for predicting diabetes between early and late adopters of health technologies. Developers expressed optimism about the benefits of these methods, such as improved cost-effectiveness modeling and patient stratification, while acknowledging potential disparities across countries. Experts from Central and Eastern European countries recognized the potential of AI-based methods using real-world data for diabetes modeling, supporting clinician decision-making and health technology assessment purposes. The research highlights the value of real-world data in improving diagnosis and therapy decisions for diabetes. [Extracted from the article] |
