Early and rapid diagnosis of the lung or pancreatic cancer increases the life expectancy of the patients. The use of artificial intelligence as a diagnostic tool in sprectrum analysis enables an order of magnitude faster analysis compared to the common diagnoses. With each data collection the neural networks improve, making the analysis more accurate and reliable. A great advantage of the method is the use of the entire spectra of the urine or breath. Contrary, competing methods analyze only individual VOC molecule spectra.
Scheme of the method with the example of the spectra of various species
AI Evaluation of the tested data obtained from a healthy patient
AI Evaluation of the tested data obtained from a patient with cancer