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Frontiers of robotic colonoscopy : A comprehensive review of robotic colonoscopes and technologies

Ciuti, Gastone ; Skonieczna-żydecka, Karolina ; Marlicz, Wojciech ; Iacovacci, Veronica ; Liu, Hongbin ; Stoyanov, Danail ; Arezzo, Alberto ; Chiurazzi, Marcello ; Toth, Ervin LU and Thorlacius, Henrik LU , et al. (2020) In Journal of Clinical Medicine 9(6).
Abstract

Flexible colonoscopy remains the prime mean of screening for colorectal cancer (CRC) and the gold standard of all population-based screening pathways around the world. Almost 60% of CRC deaths could be prevented with screening. However, colonoscopy attendance rates are affected by discomfort, fear of pain and embarrassment or loss of control during the procedure. Moreover, the emergence and global thread of new communicable diseases might seriously affect the functioning of contemporary centres performing gastrointestinal endoscopy. Innovative solutions are needed: artificial intelligence (AI) and physical robotics will drastically contribute for the future of the healthcare services. The translation of robotic technologies from... (More)

Flexible colonoscopy remains the prime mean of screening for colorectal cancer (CRC) and the gold standard of all population-based screening pathways around the world. Almost 60% of CRC deaths could be prevented with screening. However, colonoscopy attendance rates are affected by discomfort, fear of pain and embarrassment or loss of control during the procedure. Moreover, the emergence and global thread of new communicable diseases might seriously affect the functioning of contemporary centres performing gastrointestinal endoscopy. Innovative solutions are needed: artificial intelligence (AI) and physical robotics will drastically contribute for the future of the healthcare services. The translation of robotic technologies from traditional surgery to minimally invasive endoscopic interventions is an emerging field, mainly challenged by the tough requirements for miniaturization. Pioneering approaches for robotic colonoscopy have been reported in the nineties, with the appearance of inchworm-like devices. Since then, robotic colonoscopes with assistive functionalities have become commercially available. Research prototypes promise enhanced accessibility and flexibility for future therapeutic interventions, even via autonomous or robotic-assisted agents, such as robotic capsules. Furthermore, the pairing of such endoscopic systems with AI-enabled image analysis and recognition methods promises enhanced diagnostic yield. By assembling a multidisciplinary team of engineers and endoscopists, the paper aims to provide a contemporary and highly-pictorial critical review for robotic colonoscopes, hence providing clinicians and researchers with a glimpse of the major changes and challenges that lie ahead.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Artificial intelligence, Colorectal cancer screening, Computer-aided diagnosis for colonoscopy, Robotic colonoscopy, Robotics for medical distancing
in
Journal of Clinical Medicine
volume
9
issue
6
article number
1648
publisher
MDPI AG
external identifiers
  • pmid:32486374
  • scopus:85114278284
ISSN
2077-0383
DOI
10.3390/jcm9061648
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
id
d0cd482b-accf-419d-89f8-5cdbabe8406b
date added to LUP
2021-10-13 14:40:52
date last changed
2024-04-20 13:02:06
@article{d0cd482b-accf-419d-89f8-5cdbabe8406b,
  abstract     = {{<p>Flexible colonoscopy remains the prime mean of screening for colorectal cancer (CRC) and the gold standard of all population-based screening pathways around the world. Almost 60% of CRC deaths could be prevented with screening. However, colonoscopy attendance rates are affected by discomfort, fear of pain and embarrassment or loss of control during the procedure. Moreover, the emergence and global thread of new communicable diseases might seriously affect the functioning of contemporary centres performing gastrointestinal endoscopy. Innovative solutions are needed: artificial intelligence (AI) and physical robotics will drastically contribute for the future of the healthcare services. The translation of robotic technologies from traditional surgery to minimally invasive endoscopic interventions is an emerging field, mainly challenged by the tough requirements for miniaturization. Pioneering approaches for robotic colonoscopy have been reported in the nineties, with the appearance of inchworm-like devices. Since then, robotic colonoscopes with assistive functionalities have become commercially available. Research prototypes promise enhanced accessibility and flexibility for future therapeutic interventions, even via autonomous or robotic-assisted agents, such as robotic capsules. Furthermore, the pairing of such endoscopic systems with AI-enabled image analysis and recognition methods promises enhanced diagnostic yield. By assembling a multidisciplinary team of engineers and endoscopists, the paper aims to provide a contemporary and highly-pictorial critical review for robotic colonoscopes, hence providing clinicians and researchers with a glimpse of the major changes and challenges that lie ahead.</p>}},
  author       = {{Ciuti, Gastone and Skonieczna-żydecka, Karolina and Marlicz, Wojciech and Iacovacci, Veronica and Liu, Hongbin and Stoyanov, Danail and Arezzo, Alberto and Chiurazzi, Marcello and Toth, Ervin and Thorlacius, Henrik and Dario, Paolo and Koulaouzidis, Anastasios}},
  issn         = {{2077-0383}},
  keywords     = {{Artificial intelligence; Colorectal cancer screening; Computer-aided diagnosis for colonoscopy; Robotic colonoscopy; Robotics for medical distancing}},
  language     = {{eng}},
  month        = {{06}},
  number       = {{6}},
  publisher    = {{MDPI AG}},
  series       = {{Journal of Clinical Medicine}},
  title        = {{Frontiers of robotic colonoscopy : A comprehensive review of robotic colonoscopes and technologies}},
  url          = {{http://dx.doi.org/10.3390/jcm9061648}},
  doi          = {{10.3390/jcm9061648}},
  volume       = {{9}},
  year         = {{2020}},
}