Abstract: A significant proportion of the current technological developments in pneumology originate from the various areas of information technology. The spectrum ranges from smartphone apps to be used in daily life or in patient care to the use of artificial intelligence in screening and early detection of diseases. The diagnostic accuracy of apps for symptom analysis is currently very limited. Research projects are performed on the integration of symptoms and functional parameters into early detection, but also on mobility measurements as a prognostic marker in COPD. Lung cancer screening using computed tomography represents a major challenge. Here, artificial intelligence can help radiologists to cope with huge amounts of data. However, the quality of the software depends on the sufficient training of the system. Technological developments shape all fields of pneumology. For diagnostic and interventional endoscopy, they offer improved biopsy techniques and microstructural imaging. Advances in lung function measurements allow the differentiated analysis of respiratory mechanical disorders, and they could be transferred to ventilation technology. The translation of basic findings about the lung microbiome into patient care may perspectively help to better understand and treat COPD exacerbations. This work was supported by the Mobilise-D project, that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors’ view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.