Artificial Intelligence (AI) in Diagnostics of Cardio-Vascular Diseases
Artificial Intelligence (AI) in Diagnostics of Cardio-Vascular Diseases - "Data is the new oil", it has often been said. Indeed, in the digital age data is the fuel that runs the engines of digital media, advanced informatics (AI, machine learning etc.) and, not least, scientific research. Nevertheless, when facing certain highly complex issues, data-driven approaches may not always be the most effective solutions. At the USI Institute of Computing (Faculty of Informatics), Prof. Illia Horenko has devised a robust unified model learning strategy based on new and very efficient solutions to traditional mathematical and statistical problems, opening to significant developments in fields such as healthcare. His work is published in PNAS, the official journal of the National Academy of Sciences. When dealing with the human organism and diseases, the amount of variables and patient characteristics - known and unknown - can easily outnumber the available data to analyse. Moreover, especially in biomedical applications, available data is frequently contaminated with anomalies, outliers, mismeasurements and mislabelings.
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