AI & Technology

A breath analyzer based on a hierarchical deep convolutional neural network (HD-CNN) framework can detect and classify cancer subtypes with accuracies of 95.1% and 98.1% for lung and gastric cancers, respectively. The sensor array within the device detects volatile organic compounds present in the breath of cancer patients and converts these signals into digital data for analysis.