A recent study conducted by researchers at the University of Leuven has said that Artificial Intelligence can be instrumental in improving accuracy of diagnosis for lung diseases. It does so by using algorithms that can perform predictive analysis of data and learn from that.
The researchers developed an algorithm process in addition to clinical variables of smoking history and body mass. This algorithm suggests the best diagnosis based on clinical and lung function data. Speaking about this, they said, The analysis of results is currently done on population based parameters, while AI can observe a combination of patterns at once for better accuracy. The benefit of this method is a more accurate and automated interpretation of pulmonary function tests and, thus, better disease detection.