Over the course of 4 years, consultants from numerous fields, together with radiology, computational imaging analysis and trade, will collaborate to develop a state-of-the-art imaging-based AI threat rating, a medical choice assist system (CDSS), and a cellular app for personalised threat evaluation and prediction of obesity-related CVDs and their related issues.
Obesity is a urgent concern in Europe, affecting greater than 436 million individuals and resulting in a 50% larger threat of CVD mortality. This epidemic leads to an financial burden exceeding 210 billion euros per yr. Current threat evaluation strategies are insufficient by way of accuracy and sensible utility. AI-POD goals to sort out these challenges by integrating medical, laboratory, and imaging information to translate illness threat into actionable well being data that may information diagnostic steps and therapy suggestions.
Professor Ulrike Attenberger, Director of Department of Diagnostic and Interventional Radiology on the University Hospital Bonn (UKB) is the coordinator of the AI-POD mission, and expressed her enthusiasm: “With AI-POD, we’re pushing the boundaries of medical perception in heart problems administration for overweight people. Our purpose is to develop reliable AI instruments that won’t solely assist medical decision-making, but additionally empower sufferers and individuals in danger to higher monitor and handle their very own well being. By doing so, we purpose to considerably scale back morbidity and mortality amongst overweight people whereas additionally making a constructive affect on public well being budgets.”
The AI-POD mission shall be validated in six medical websites and goals to ascertain a long-lasting interdisciplinary platform for distributed studying in different vascular areas. This progressive mission can even create an moral framework to handle potential issues concerning the brand new applied sciences, and consider their acceptability, social desirability, and person satisfaction.
The AI-POD mission is poised to revolutionize the best way obesity-related CVDs are predicted and managed, finally enhancing well being outcomes for thousands and thousands of Europeans.
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