Vienna: Researchers have recently revealed that training an artificial neural network system can detect lung diseases in children simply through their breath.
According to research presented by the European Respiratory Society (ERS) in Vienna, artificial neural networks (ANNs) can be trained to detect bronchopulmonary dysplasia (a lung disease in preterm infants), especially when the children are breathing during sleep.
The study was presented by a professor from the Department of Biomedical Engineering at the University of Basel and the research group leader at the University Children’s Hospital, Switzerland.
Bronchopulmonary dysplasia (BPD) is a respiratory issue that can affect preterm infants, occurring when a newborn’s lungs are underdeveloped at birth.
Such infants often require support from ventilators or oxygen therapy—treatments that can expand and contract their lungs.