Smart Endoscopy Is Greener Endoscopy: Leveraging Artificial Intelligence and Blockchain Technologies to Drive Sustainability in Digestive Health Care.
artificial intelligence
blockchain
capsule endoscopy
carbon offsetting
convoluted neural networks
deep learning
digestive health care
greenhouse gases
sustainability
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
08 Dec 2023
08 Dec 2023
Historique:
received:
20
10
2023
revised:
14
11
2023
accepted:
25
11
2023
medline:
22
12
2023
pubmed:
22
12
2023
entrez:
22
12
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 38132209
pii: diagnostics13243625
doi: 10.3390/diagnostics13243625
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng