Smart Endoscopy Is Greener Endoscopy: Leveraging Artificial Intelligence and Blockchain Technologies to Drive Sustainability in Digestive Health Care

被引:3
|
作者
Mascarenhas, Miguel [1 ,2 ,3 ]
Ribeiro, Tiago [2 ,3 ]
Afonso, Joao [2 ,3 ]
Mendes, Francisco [2 ,3 ]
Cardoso, Pedro [2 ,3 ]
Martins, Miguel [2 ,3 ]
Ferreira, Joao [4 ]
Macedo, Guilherme [1 ,2 ,3 ]
机构
[1] Univ Porto, Fac Med, P-4200319 Porto, Portugal
[2] Hosp Sao Joao, Dept Gastroenterol, Precis Med Unit, P-4200437 Porto, Portugal
[3] WGO Training Ctr, P-4200437 Porto, Portugal
[4] Univ Porto, Fac Engn, Porto, Portugal
关键词
artificial intelligence; capsule endoscopy; digestive health care; deep learning; blockchain; convoluted neural networks; greenhouse gases; sustainability; carbon offsetting; COLON CAPSULE ENDOSCOPY; CLINICAL-PRACTICE GUIDELINES; IMPACT; TRANSIT;
D O I
10.3390/diagnostics13243625
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页数:14
相关论文
共 49 条
  • [1] Artificial intelligence in digestive endoscopy: recent advances
    Rey, Jean-Francois
    CURRENT OPINION IN GASTROENTEROLOGY, 2023, 39 (05) : 397 - 402
  • [2] Application and prospect of artificial intelligence in digestive endoscopy
    Zhuang, Huangming
    Bao, Anyu
    Tan, Yulin
    Wang, Hanyu
    Xie, Qingfang
    Qiu, Meiqi
    Xiong, Wanli
    Liao, Fei
    EXPERT REVIEW OF GASTROENTEROLOGY & HEPATOLOGY, 2022, 16 (01) : 21 - 31
  • [3] The scientific progress and prospects of artificial intelligence in digestive endoscopy: A comprehensive bibliometric analysis
    Gan, Pei-Ling
    Huang, Shu
    Pan, Xiao
    Xia, Hui-Fang
    Lue, Mu-Han
    Zhou, Xian
    Tang, Xiao-Wei
    MEDICINE, 2022, 101 (47) : E31931
  • [4] Artificial intelligence technology based on deep learning in digestive endoscopy imaging diagnosis
    Cheng J.
    Song T.
    Liu Z.
    Zhou L.
    Sun D.
    Personal and Ubiquitous Computing, 2023, 27 (3) : 845 - 850
  • [5] The Scientific Progresses and Prospects of Artificial Intelligence in Digestive Endoscopy: A Comprehensive Bibliometric Analysis
    Gan, Peiling
    Tang, Xiaowei
    AMERICAN JOURNAL OF GASTROENTEROLOGY, 2021, 116 : S472 - S472
  • [6] Artificial Intelligence in Digestive Endoscopy-Where Are We and Where Are We Going?
    Vulpoi, Radu-Alexandru
    Luca, Mihaela
    Ciobanu, Adrian
    Olteanu, Andrei
    Barboi, Oana-Bogdana
    Drug, Vasile Liviu
    DIAGNOSTICS, 2022, 12 (04)
  • [7] Artificial intelligence and capsule endoscopy: Is the truly "smart" capsule nearly here?
    Byrne, Michael F.
    Donnellan, Fergal
    GASTROINTESTINAL ENDOSCOPY, 2019, 89 (01) : 195 - 197
  • [8] Overcoming Alzheimer's Disease Stigma by Leveraging Artificial Intelligence and Blockchain Technologies
    Pilozzi, Alexander
    Huang, Xudong
    BRAIN SCIENCES, 2020, 10 (03)
  • [9] Research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022
    Ren-Chun Du
    Yao-Bin Ouyang
    Yi Hu
    World Journal of Gastroenterology, 2023, (22) : 3561 - 3573
  • [10] Applications of artificial intelligence to endoscopy practice: The view from Japan Digestive Disease Week 2018
    Togashi, Kazutomo
    DIGESTIVE ENDOSCOPY, 2019, 31 (03) : 270 - 272