31.05.2024Improved Detection of Heart Failure with Preserved Ejection Fraction

Heart failure with preserved ejection fraction (HFpEF) accounts for half of all heart failure cases. A recent study on the detection of HFpEF in electronic health records investigated the potential of artificial intelligence-based text analysis using natural language processing (NLP).  The authors from the King’s College London and Guy’s and St Thomas’ NHS Foundation Trust London, including Prof. Thomas F. Lüscher, found that many patients meeting the diagnostic criteria for HFpEF lacked a formal diagnosis. These undiagnosed patients had high mortality risk despite experiencing fewer acute cardiovascular events. The study suggests that NLP could be a useful tool to identify individuals for further evaluation by medical specialists in clinical practise.

Florian Wenzl