AI model enables more than a million-fold acceleration of diffuse optical tomography for real-time diagnosis

Researchers at University of Tsukuba have developed an AI model capable of predicting light propagation in biological tissue in diffuse optical tomography, a noninvasive imaging technique for detecting abnormalities such as hemorrhages and tumors. The model performs these calculations in approximately 2 milliseconds, exceeding the speed of conventional simulation methods by more than 1 million times, paving the way for real-time diagnostic applications. The paper is published in Biomedical Engineering Letters.