Today on the show I am talking to Adrian Schiegl, the head of data science at XUND; an Austrian AI Startup that develops systems to predict medical diagnoses based on patients self reported symptoms.

During the interview Adrian is going to share some of the findings, challenges and solutions XUND has experienced and developed since its inception in 2018. For example, Xund's decision to move away from developing an mobile phone based self diagnosis system towards an Medical API that enables other vendors to integrate their automatic diagnoses system into their own products. In addition Adrian is telling us about recent research projects and future goals of the company, to move into hospitals and clinics in order to support the digitalization of a patients medical journey and ensure the most effective treatment possible.

#References

Adrian Schiegl : https://www.linkedin.com/in/adrian-schiegl/

Xund: https://xund.ai/

Bayesian Neural Networks : https://proceedings.neurips.cc/paper/2020/hash/322f62469c5e3c7dc3e58f5a4d1ea399-Abstract.html