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Sustainable Development Goals at SDU Applied AI & Data Science

Goal #3: Good health and well-being

The research carried out at AID is centered around answering following questions that are raised within SDG-Goal3:

  1. How can we best advance AI in healthcare and healthy living to the benefit of people, patients and care professionals?
  2. To what extent we can rely on AI algorithms when it comes to matters of safety-critical applications (life and death) or personal health and well-being?
  3. How do we ensure that AI does not inadvertently discriminate against minorities, race and gender, or other groups, thereby perpetuating inequalities in access and quality of care?

The research carried out at AID addresses these questions, keeping in mind that we should move from a reactive sick care to a proactive health care. This requires AI in its outmost definition, featuring adaptive and embedded solutions while being precise, transparent, interpretable, adaptive, versatile and robust.

A useful demarcation line that makes the distinction between our research and others crisp and easy to apply can be formulated as follows.
In addition to the design of predictive algorithms for early detection and prediction of high-impact diseases and their associated complications, our research benefits from the use of causal inference to interpret the outcome of the algorithms. This enables us that the data-crunching power of AI goes hand in hand with domain knowledge from human experts and established clinical sciences, equipping them with a strong decision-support tool while keeping human oversight over its recommendations.

Furthermore, Danish Electronic Health Records (EHR) is the gold mine to make better clinical predictions and explanations, which we extensively use in areas such as endocrinology with focus on diabetic complications, urology (prostate cancer), hepatology (liver disease) , gynecology (preeclampsia), gastroenterology (colorectal cancer, Crohn’s disease), neurology (epilepsy & seizure) and cardiology with focus on Atrial fibrillation. The knowledge we obtain by working with EHR can be passed on to different countries and improve the global health.  

Goal #7: Ensure access to affordable, reliable, sustainable and modern energy

Access to electricity in poorer countries has begun to accelerate, energy efficiency continues to improve, and renewable energy is making impressive gains in the electricity sector.

To tackle the increase in demand towards clean and renewable energy, Our efforts at AID center around monitoring the behavior of wind turbines under normal and abnormal conditions and operational states.

The goal is to provide performance benchmarks for the manufactures and their customers, and a predictive framework to facilitate remaining lifetime estimations and optimal operation and maintenance plans. This means a significant improvement in manufacturer’s product, which in turn will improve energy generation and lower the costs, making their service more affordable to a broader list of clients.

Last Updated 14.12.2020