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[Technological Innovations in Pulmonology - Examples from Diagnostics and Therapy]. / Expertentreffen COPD: Technologische Innovationen in der Pneumologie ­ Facetten aus Diagnostik und Therapie.
Randerath, W; Dreher, M; Gompelmann, D; Held, M; Koczulla, R; Köhnlein, T; Rohde, G; Wälscher, J; Watz, H; Steinkamp, G.
Afiliación
  • Randerath W; Klinik für Pneumologie und Allergologie, Krankenhaus Bethanien, Solingen.
  • Dreher M; Klinik für Pneumologie und Internistische Intensivmedizin, Medizinische Klinik V, Universitätsklinikum Aachen.
  • Gompelmann D; Klinische Abteilung für Pulmologie, Universitätsklinik Innere Medizin II, Wien.
  • Held M; Missioklinik, Klinikum Würzburg Mitte, Zentrum für Thoraxmedizin Würzburg, Medizinische Klinik mit Schwerpunkt Pneumologie und Beatmungsmedizin.
  • Koczulla R; Fachzentrum für Pneumologie, Schön Klinik Berchtesgadener Land und Universitätsklinikum Marburg.
  • Köhnlein T; Pneumologisches Facharztzentrum Teuchern.
  • Rohde G; Pneumologie/Allergologie, Medizinische Klinik 1, Universitätsklinikum Frankfurt.
  • Wälscher J; Pneumologie, Ruhrlandklinik, Universitätsmedizin Essen.
  • Watz H; Pneumologisches Forschungsinstitut an der LungenClinic Großhansdorf, Airway Research Center North (ARCN), Deutsches Zentrum für Lungenforschung (DZL).
  • Steinkamp G; Medizinisch-wissenschaftliches Publizieren, Schwerin.
Pneumologie ; 74(9): 585-600, 2020 Sep.
Article en De | MEDLINE | ID: mdl-32663891
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neumología / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: De Revista: Pneumologie Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neumología / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: De Revista: Pneumologie Año: 2020 Tipo del documento: Article
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