Organisational unit , 16/06/2025

Research conducted within ZKI-PH 1 “AI-Fundamentals” focuses on the strategic development of novel AI technologies for public health applications. This will include designing fundamental AI methods, such as models for generating synthetic data, and novel analytical approaches to address methodological challenges. It will also include researching the ethical dimensions of AI applications in health and ensuring the quality and reliability of AI models used in medicine, society and public health.

Publication , 11/06/2025

Abstract:Background: Coronary heart disease (CHD) is the leading cause of death in Germany. Comprehensive analyses of long-term trends in CHD mortality that also distinguish between acute myocardial infarction (AMI) and non-AMI-related chronic CHD are currently lacking.Method: Age-specific and age-standardised CHD mortality rates for the period 1998 – 2023 were calculated based on data from the cause-of-death statistics of the Federal Statistical Office of Germany. Annual percentage changes (APC) and average annual percentage changes (AAPC) were estimated using joinpoint regression analysis.Results: Between 1998 and 2023, the average annual change in age-standardised CHD mortality rates for women was -3.9 % ((-4.1) – (-3.7)) per year, compared with -3.2 % ((-3.3) – (-3.0)) for men. …

Publication

Programme for the Symposium “AI in Public Health Research” on 14th-15th May 2025

Publication , 26/05/2025

Symposium "Artificial Intelligence in Public Health Research"

Publication , 21/05/2025

Abstract:Background: Knowledge of the risk of cardiovascular disease (CVD) is important for its prevention.Methods: Data from a non-clinical test for the absolute risk of having a heart attack or stroke for the first time in the next ten years is available from 3,271 35- to 69-year-old participants in the GEDA 2022 study without a diagnosis of heart attack or stroke. This risk was categorised as low (< 5 %), still low (≥ 5 % – < 7.5 %), increased (≥ 7.5 % – < 10 %) and high (≥ 10 %). In addition, the self-perceived CVD risk was asked as almost no, low, moderate and high risk.Results: According to the CVD test, 73.5 % of adults were at low risk, 7.8 % were still at low risk, 6.0 % were at increased risk and 12.8 % were at high risk. In contrast, 28.7 % perceived themselves to be at …

Publication , 20/05/2025

Robert Koch Colloquium 2025 "Empowering Public Health: From Data to Global Health" 19,-20.05.2025

Publication , 20/05/2025

Robert Koch Colloquium 2025 "Empowering Public Health: From Data to Global Health" 19,-20.05.2025