{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T02:29:41Z","timestamp":1771036181465,"version":"3.50.1"},"reference-count":97,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T00:00:00Z","timestamp":1701993600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>The surge in the implementation of artificial intelligence (AI) in recent years has permeated many aspects of our life, and health care is no exception. Whereas this technology can offer clear benefits, some of the problems associated with its use have also been recognised and brought into question, for example, its environmental impact. In a similar fashion, health care also has a significant environmental impact, and it requires a considerable source of greenhouse gases. Whereas efforts are being made to reduce the footprint of AI tools, here, we were specifically interested in how employing AI tools in gastroenterology departments, and in particular in conjunction with capsule endoscopy, can reduce the carbon footprint associated with digestive health care while offering improvements, particularly in terms of diagnostic accuracy. We address the different ways that leveraging AI applications can reduce the carbon footprint associated with all types of capsule endoscopy examinations. Moreover, we contemplate how the incorporation of other technologies, such as blockchain technology, into digestive health care can help ensure the sustainability of this clinical speciality and by extension, health care in general.<\/jats:p>","DOI":"10.3390\/diagnostics13243625","type":"journal-article","created":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T05:47:30Z","timestamp":1702014450000},"page":"3625","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Smart Endoscopy Is Greener Endoscopy: Leveraging Artificial Intelligence and Blockchain Technologies to Drive Sustainability in Digestive Health Care"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0340-0830","authenticated-orcid":false,"given":"Miguel","family":"Mascarenhas","sequence":"first","affiliation":[{"name":"Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal"},{"name":"Precision Medicine Unit, Department of Gastroenterology, Hospital S\u00e3o Jo\u00e3o, 4200-437 Porto, Portugal"},{"name":"WGO Training Center, 4200-437 Porto, Portugal"}]},{"given":"Tiago","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Precision Medicine Unit, Department of Gastroenterology, Hospital S\u00e3o Jo\u00e3o, 4200-437 Porto, Portugal"},{"name":"WGO Training Center, 4200-437 Porto, Portugal"}]},{"given":"Jo\u00e3o","family":"Afonso","sequence":"additional","affiliation":[{"name":"Precision Medicine Unit, Department of Gastroenterology, Hospital S\u00e3o Jo\u00e3o, 4200-437 Porto, Portugal"},{"name":"WGO Training Center, 4200-437 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5890-7049","authenticated-orcid":false,"given":"Francisco","family":"Mendes","sequence":"additional","affiliation":[{"name":"Precision Medicine Unit, Department of Gastroenterology, Hospital S\u00e3o Jo\u00e3o, 4200-437 Porto, Portugal"},{"name":"WGO Training Center, 4200-437 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9427-5635","authenticated-orcid":false,"given":"Pedro","family":"Cardoso","sequence":"additional","affiliation":[{"name":"Precision Medicine Unit, Department of Gastroenterology, Hospital S\u00e3o Jo\u00e3o, 4200-437 Porto, Portugal"},{"name":"WGO Training Center, 4200-437 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0484-4804","authenticated-orcid":false,"given":"Miguel","family":"Martins","sequence":"additional","affiliation":[{"name":"Precision Medicine Unit, Department of Gastroenterology, Hospital S\u00e3o Jo\u00e3o, 4200-437 Porto, Portugal"},{"name":"WGO Training Center, 4200-437 Porto, Portugal"}]},{"given":"Jo\u00e3o","family":"Ferreira","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9387-9872","authenticated-orcid":false,"given":"Guilherme","family":"Macedo","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal"},{"name":"Precision Medicine Unit, Department of Gastroenterology, Hospital S\u00e3o Jo\u00e3o, 4200-437 Porto, Portugal"},{"name":"WGO Training Center, 4200-437 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,8]]},"reference":[{"key":"ref_1","unstructured":"(2023, August 31). 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