InfoPFT is a software-based project for interpreting pulmonary function tests, based on cybernetic artificial intelligence tools. Built on the foundations of respiration pathophysiology, InfoPFT aims to evolve to a more integral analysis of the functional disorders of lung and respiratory system diseases. In this evolution, the web page itself has a crucial role as a forum and meeting point for pathophysiologists and pneumologists interested in the project. The forum acts as a discussion panel. In addition, InfoPFT provides a tool to help physicians produce comprehensible pulmonary reports, taking into account the global functional status obtained by pulmonary function tests. From simple spirometry to complex functional studies, diagnosis is made by taking into account the ensemble of significant parameters and the coherence of redundancies.
Pablo V. Romero MD, PhD
Editor in chief