{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T13:03:32Z","timestamp":1785243812337,"version":"3.55.0"},"reference-count":13,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Bioengineering"],"abstract":"<jats:p>Biomedical innovation often emerges from the interaction between clinical needs and technological expertise [...]<\/jats:p>","DOI":"10.3390\/bioengineering13080873","type":"journal-article","created":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T11:45:26Z","timestamp":1785239126000},"page":"873","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Embedding Engineers in Clinical Pulmonology: Toward Earlier Clinical\u2013Technological Integration"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1494-8145","authenticated-orcid":false,"given":"Manuel","family":"Casal-Guisande","sequence":"first","affiliation":[{"name":"Department of Design in Engineering, University of Vigo, 36208 Vigo, Spain"},{"name":"NeumoVigo I+i Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36312 Vigo, Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red, CIBERES ISCIII, 28029 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6710-3766","authenticated-orcid":false,"given":"Mar\u00eda","family":"Torres-Dur\u00e1n","sequence":"additional","affiliation":[{"name":"NeumoVigo I+i Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36312 Vigo, Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red, CIBERES ISCIII, 28029 Madrid, Spain"},{"name":"Pulmonary Department, Hospital \u00c1lvaro Cunqueiro, 36312 Vigo, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7407-5249","authenticated-orcid":false,"given":"Alberto","family":"Fern\u00e1ndez-Villar","sequence":"additional","affiliation":[{"name":"NeumoVigo I+i Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36312 Vigo, Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red, CIBERES ISCIII, 28029 Madrid, Spain"},{"name":"Pulmonary Department, Hospital \u00c1lvaro Cunqueiro, 36312 Vigo, Spain"},{"name":"Department of Functional Biology and Health Sciences, University of Vigo, 36310 Vigo, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,7,28]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (WHO) (2017). Human Resources for Medical Devices: The Role of Biomedical Engineers, WHO."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1007\/s12553-019-00345-0","article-title":"Evidence-Based Impact by Clinical Engineers on Global Patients Outcomes","volume":"10","author":"David","year":"2019","journal-title":"Health Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"230251","DOI":"10.1183\/16000617.0251-2023","article-title":"Digital Health Delivery in Respiratory Medicine: Adjunct, Replacement or Cause for Division?","volume":"33","author":"Ottewill","year":"2024","journal-title":"Eur. Respir. Rev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"200181","DOI":"10.1183\/16000617.0181-2020","article-title":"Artificial Intelligence in Pulmonary Medicine: Computer Vision, Predictive Model and COVID-19","volume":"29","author":"Khemasuwan","year":"2020","journal-title":"Eur. Respir. Rev."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Mengarelli, A., Tigrini, A., Alattar, M., Govind, A., and Mainali, S. (2024). Artificial Intelligence Models for the Automation of Standard Diagnostics in Sleep Medicine\u2014A Systematic Review. Bioengineering, 11.","DOI":"10.3390\/bioengineering11030206"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1080\/17476348.2025.2567046","article-title":"Application of Artificial Intelligence for the Detection of Obstructive Sleep Apnea Based on Clinical and Demographic Data: A Systematic Review","volume":"20","year":"2026","journal-title":"Expert Rev. Respir. Med."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1038\/s41533-025-00455-5","article-title":"AI-Driven Clinical Decision Support for Early Diagnosis and Treatment Planning in Patients with Suspected Sleep Apnea Using Clinical and Demographic Data before Sleep Studies","volume":"35","year":"2025","journal-title":"npj Prim. Care Respir. Med."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"102308","DOI":"10.1016\/j.smrv.2026.102308","article-title":"The Potential of Clustering Methods for Pre-Test Triage in Sleep Medicine: A Systematic Review","volume":"89","author":"Almeida","year":"2026","journal-title":"Sleep Med. Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"20552076241272632","DOI":"10.1177\/20552076241272632","article-title":"Integrating Tabular Data through Image Conversion for Enhanced Diagnosis: A Novel Intelligent Decision Support System for Stratifying Obstructive Sleep Apnoea Patients Using Convolutional Neural Networks","volume":"10","year":"2024","journal-title":"Digit. Health"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"L\u00f3pez-Canay, J., Casal-Guisande, M., Represas-Represas, C., Cerqueiro-Peque\u00f1o, J., Bouza-Rodr\u00edguez, J.B., Comesa\u00f1a-Campos, A., and Fern\u00e1ndez-Villar, A. (2025). Artificial Intelligence for Spirometry Quality Evaluation: A Systematic Review. Bioengineering, 12.","DOI":"10.3390\/bioengineering12121286"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1016\/j.arbres.2024.10.010","article-title":"Clinical and Social Characterization of Patients Hospitalized for COPD Exacerbation Using Machine Learning Tools","volume":"61","author":"Golpe","year":"2025","journal-title":"Arch. Bronconeumol."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"L\u00f3pez-Canay, J., Casal-Guisande, M., Pinheira, A., Golpe, R., Comesa\u00f1a-Campos, A., Fern\u00e1ndez-Garc\u00eda, A., Represas-Represas, C., and Fern\u00e1ndez-Villar, A. (2025). Predicting COPD Readmission: An Intelligent Clinical Decision Support System. Diagnostics, 15.","DOI":"10.3390\/diagnostics15030318"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"108278","DOI":"10.1016\/j.rmed.2025.108278","article-title":"Characterisation of Patients with Alpha-1 Antitrypsin Deficiency Using Unsupervised Machine Learning Tools","volume":"247","author":"Miravitlles","year":"2025","journal-title":"Respir. Med."}],"container-title":["Bioengineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5354\/13\/8\/873\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T12:18:45Z","timestamp":1785241125000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5354\/13\/8\/873"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,28]]},"references-count":13,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2026,8]]}},"alternative-id":["bioengineering13080873"],"URL":"https:\/\/doi.org\/10.3390\/bioengineering13080873","relation":{},"ISSN":["2306-5354"],"issn-type":[{"value":"2306-5354","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,28]]}}}