Deep learning approach for probabilistic pulmonary function estimation from chest X-ray and peak expiratory flow rate.
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| Title: | Deep learning approach for probabilistic pulmonary function estimation from chest X-ray and peak expiratory flow rate. |
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| Authors: | Killing C; Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany. christoph.killing@med.uni-muenchen.de., Wekerle M; Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany., Sutherland JS; Vaccines and Immunity Theme, Medical Research Council Unit The Gambia at LSHTM, Fajara, The Gambia., Rassool M; Clinical HIV Research Unit (CHRU), Wits Health Consortium (WHC), Health Science Research Office (HSRO), Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa., Zurba L; Education for Health Africa, Durban, South Africa., Ivanova O; Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany., Charalambous S; The Aurum Institute, Johannesburg, South Africa., Khosa C; Instituto Nacional de Saúde, Marracuene, Mozambique., Wallis RS; The Aurum Institute, Johannesburg, South Africa., Hoelscher M; Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.; German Centre for Infection Research (DZIF), Partner Site Munich, Munich, Germany.; Fraunhofer Institute, Immunology, Infection and Pandemic Research, Munich, Germany.; Helmholtz Zentrum München, German Research Center for Environmental Health (HMGU), Neuherberg, Germany., Calderwood C; Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK., Allwood B; Division of Pulmonology, Department of Medicine, Stellenbosch University & Tygerberg Hospital, Cape Town, South Africa., Castelletti N; Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.; Fraunhofer Institute, Immunology, Infection and Pandemic Research, Munich, Germany.; Helmholtz Zentrum München, German Research Center for Environmental Health (HMGU), Neuherberg, Germany., Rachow A; Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.; German Centre for Infection Research (DZIF), Partner Site Munich, Munich, Germany.; Helmholtz Zentrum München, German Research Center for Environmental Health (HMGU), Neuherberg, Germany. |
| Corporate Authors: | TB Sequel Consortium |
| Source: | Communications medicine [Commun Med (Lond)] 2026 Jun 09; Vol. 6 (1). Date of Electronic Publication: 2026 Jun 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918250414506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-664X (Electronic) Linking ISSN: 2730664X NLM ISO Abbreviation: Commun Med (Lond) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2730-664X |
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| DOI: | 10.1038/s43856-026-01702-7 |
